Data Scientist Jobs in Bainbridge Island, WA

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life: We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Lead AWS Data Engineer Responsibilities Develop, optimize, and maintain ETL pipelines using Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Minimum Qualifications: Bachelor's degree in Computer Science, Data Engineering, or a related field. 7+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: 100% Onsite in Seattle, WA Salary Range: The salary for this position is between $120K/year- $160K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Full-time or W2 hourly, directly with Tavant ONLY Should be in Seattle or be willing to relocate. The interview will involve Hackerrank coding ● 12+ years of relevant data engineering experience. ● Deep coding knowledge of the Python/Snowflake/Databricks (all 3 are mandatory) ● Deep coding knowledge of databases (SQL and no-SQL) ● Experience in building large datasets and scalable batch pipelines. ● Experience with large-scale distributed data processing systems, their benefits and limitations. Preferred Qualifications ● Experience with Airflow, or any other data pipeline orchestration tools. ● Experience designing and implementing cross-cloud data pipelines in AWS, Snowflake, Databricks delta lake files, etc. Required Education ● Bachelor's degree in Computer Science, Software Engineering, or a related field.

Role: Data Engineer Duration: Long-term project. Key Skills Apache Spark (PySpark or Scala): Writing scalable distributed rule engines. Apache Hive: Querying partitioned datasets, schema handling. Amazon EMR: Cluster management, tuning jobs for large datasets (20+ TB). AWS S3: Data partitioning, object lifecycle, access patterns. Glue Data Catalog: Managing Hive table metadata. Data Quality Frameworks: (Great Expectations, Deequ, or custom rules). CI/CD: Code deployment pipelines (Git, Jenkins, Airflow, etc

Our Opportunity: Chewy is growing! Are you passionate about harnessing data to drive strategic business decisions? Do you grow with building innovative forecasting models that directly influence a company's bottom line? If so, Chewy is looking for a Data Scientist III with expertise in financial forecasting to join our Merchandising Data Science Team and help shape the future of financial analysis and decision-making within the organization. In this role, you will combine deep understanding of machine learning, advanced data analysis, and statistical testing to predict trends and outcomes. You will work closely with finance, business, and cross functional teams to develop, implement, and refine predictive models that drive strategic decision-making and operational efficiency across the business. Does this sound like you? If so, we would love to hear from you! What you'll do: Design, develop, and implement advanced predictive learning models for financial forecasting, including revenue, expenditure, cash flow, and other key financial metrics. Analyze large financial datasets to identify trends, correlations, and actionable insights that influence financial planning and performance. Research and implement innovative forecasting algorithms to generate accurate financial forecasts and projections. Oversee data collection, cleansing, and validation processes to ensure data integrity and reliability. Work cross-functionally with finance, business, and product teams to understand business requirements and deliver actionable insights that drive financial strategy. Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility. Effectively communicate complex technical concepts and insights to both technical and non-technical partners. What you'll need: Candidate must possess a Graduate Degree (MS/PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Mathematics, or related field. Validated experience in developing advanced machine learning models with a focus on financial forecasting, financial modeling, or similar domains. Strong experience with time series analysis, regression models, and machine learning algorithms for financial predictions. Expertise in programming languages such as Python. Advanced proficiency with SQL Proficiency with version control systems (e.g., Git) and joint coding practices. Good understanding of cloud platforms such as AWS. Strong problem-solving skills and the ability to work independently and in a fast-paced environment. Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical partners. Ability to travel up to 10% of the time The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Base Salary Range$134,500—$215,000 USD Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact ************. If you have a question regarding your application, please contact ************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Applications will be accepted up to 07/11/2025. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making. As a Senior Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing * Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement. * Conduct evidence-based evaluations to determine key drivers of Slack's product growth. * Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups. * Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success. * Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations. * Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels. What you should have * 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software. * A related technical degree required. * Expertise in at least one programming language for data science (e.g., Python, R). * Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. * Strong communication skills. Able to translate complex technical results into clear, actionable insights. * Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels. * Experience designing and implementing advanced data models with scalability and efficiency. * Experienced in applying advanced quant measurement techniques in a product development environment. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: *********************************** Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ***********************************Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Colorado-based roles, the base salary hiring range for this position is $167,300 to $230,000. For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Illinois based roles, the base salary hiring range for this position is $184,000 to $253,000.

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. As a Staff Data Scientist you will be responsible for advancing our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will design and execute experiments and build necessary tooling. You will keep abreast of the state of the art in LLMs while conducting research of novel techniques to solve issues unique to our application. You will: Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve Follow and contribute to best practices for our research activities including data collection/annotation, literature research, experimentation, and evaluation Create and test novel LLM based systems Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques What We're Looking For: 6 years of experience in Data Science or Machine Learning Engineering Expert level Python: able to write reliable, extensible code Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks Experience using pre-trained LLM's for zero or few-shot learning tasks Scientific mindset and ability to run experiments to guide model selection and hyperparameter search Good written communication skills Experience putting LLM based services into production Experience working with clinical data Our Tech Stack: Primarily Python jobs and applications OpenAI and other Foundation model APIs Pytorch on AzureML for our own training Kubernetes via AKS or EKS for serving compute (with support from infra team) Databricks for data lake Flyte for orchestration Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar) Experience generating visualizations for evaluation of complex systems Pay Range: $159,450 - $223,230 Other compensation: Bonus Eligible Perks & Benefits: 💻 Remote US work 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: ******************************************* We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. MCG Health is a Seattle, Washington-based company. This position can be done from a remote location and will require some in-person travel. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

Mandatory Skills: 3+ years of experience as Data Scientist Strong experience as Data analyst Good SQL BI domain knowledge Handling big data experience is necessary using Cosmos Strong experience on Microsoft excel based data analysis Should be able to effectively assess the business / operational / sales data, define trends, KPIs, predictions and recommendations Strong experience in using analytics tool Should be able to write complex SQL Queries / Cosmos scripts to pull necessary data Proactive and result oriented Deals well with ambiguity and rapid iteration Experience in Iterative Agile Methodologies (SCRUM) Mandatory Functional Skills: Excellent Verbal and Email Communication Skills Good customer service skills Good Listening and descision making skills Creativity and problem solving skills. Ability to work under pressure and perform multiple tasks Desirable Functional Skills: Ability to coordinate with product team. Total Experience Required :5-7 years and above Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques. You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc... Qualifications: PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains Telecom experience desired Distributed computing systems knowledge is a plus

Meta is seeking a highly skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytical solutions. The ideal candidate will have a passion for working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling. 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages. 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar. 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders. Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis Proven track record of managing and leading cross-functional projects and teams. Solid understanding of machine learning techniques and algorithms. Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling. Proficient in statistical analysis and experimental design. Technical knowledge of data center operations Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field. Knowledge of simulation and optimization techniques Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions

About Allio Think Macro | Invest Smarter | Be Free Our macro-investing philosophy focuses on the powerful forces that shape markets: economics, policy, and politics. We believe these aren't just trends-they're the drivers of opportunity, risk and long-term growth. We're the only investing app that uses AI to power our portfolios, via our proprietary Altitude AI™ technology. Our goal is to lead fintech into the 21st Century by focusing on dynamic portfolios that embrace tactical execution, leaving the cookie cutter robo-advisors and gamified day-trading apps as a thing of the past. By embracing a top-down macro perspective predicated on monetary and fiscal policy, we help investors identify critical turning points in markets and position their portfolios with precision. From sectors to industries and geographies, we enable you to think bigger and act decisively. As a company, we embrace America-first, libertarian ideals with a mission to expand economic literacy. The world is experiencing a contentious changing global order in the midst of a 4th industrial revolution. High inflation, unrestrained government spending, dollarization and political polarization create difficult headwinds for the US to continue leading the world in innovation. Innovation is directly correlated with productivity, but productivity is a result of education and a market economy driven by incentives. Demands to legislate equality of outcome have replaced the decades long standards of equality of opportunity shrouded in meritocracy. As a result, for the first time in U.S. history, individuals are faced with the likelihood that they will have a lower standard of living than their parents. In order to combat this contagion, it starts with educating professionals on the economic policies that are going to give them and their posterity the best quality of life. The goal is to produce an informed, united electorate capable of setting equitable growth policies predicated on data, not ideological party affiliation, leading to higher productivity and an increased standard of living for American Citizens. Role Overview We are looking for a skilled Data Scientist with a solid foundation in data engineering to develop and implement advanced machine learning models that enhance Allio's products and services. The ideal candidate will have experience in building data pipelines, handling large datasets, and creating scalable machine learning solutions with proficiency in tools like Snowflake. Experience working with financial market data is a must. Data Engineering: Design and develop robust data pipelines and ETL processes to support machine learning models. Ensure data quality and integrity across various data sources. Work with data warehousing solutions, particularly Snowflake, to manage and optimize data storage. Time-Series Data Handling: Collect, preprocess, and analyze financial and economic time-series data. Apply time-series modeling techniques to extract insights and forecast trends. Model Development: Build and deploy machine learning models and algorithms tailored to business needs. Conduct experiments to test hypotheses and validate models. Algorithm Optimization: Optimize machine learning algorithms for performance and scalability. Implement techniques to improve model accuracy and reduce computational costs. Integration and Deployment: Collaborate with software engineers to integrate machine learning models into production systems. Ensure models are robust, scalable, and maintainable in real-world applications. Research and Innovation: Stay current with the latest developments in machine learning and data engineering. Explore new technologies and methodologies to enhance existing solutions. Ideal Candidate Masters degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience as a Machine Learning Engineer or in a similar role. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or scikit-learn. Proficiency in data engineering tools and techniques, including SQL, NoSQL databases, and ETL processes. Experience with data warehousing platforms, particularly Snowflake. Familiarity with big data technologies like Apache Spark or Hadoop. Strong understanding of statistical modeling, data mining, and data visualization techniques. Experience working with financial and/or economic time-series data. Experience with software development tools and version control systems (e.g., Git). Excellent problem-solving skills and attention to detail.

Persons requiring reasonable accommodation in the application process or requiring information in an alternative format may contact the recruitment team at ***********************. Those with a hearing impairment in need of accommodation are encouraged to contact the Washington Relay Service at ************** or ************************ Position and Salary: The Attorney General's Office is recruiting for a permanent full time Data Scientist in the Medicaid Fraud Control Division. This position is located in Olympia, Washington, and is represented by the Washington Federation of State Employees (WFSE). Financial Examiner 3 Salary range 66: $78,468 - $105,612 The base pay offered will take into account internal equity and may vary depending on the preferred candidate's job-related knowledge, skills, and experience. The following stipends may apply based on position requirements: Incumbents assigned to our Seattle office location receive an additional 5% King County Location Pay stipend. Incumbents assigned to a position designated as requiring dual language skills will receive a 5% Dual Language Requirement Pay stipend. The AGO provides a workplace that is understanding of work-life balance and promotes advancement by offering a wide variety of professional development and growth opportunities. Excellent benefits: Washington State offers one of the most competitive benefits packages in the nation, including Medical/Dental/Vision for employees & dependent(s); Vacation, Sick, and Other Leave; 11 Paid Holidays per year; Public Employees Retirement System (PERS) plans; and Life Insurance. Beyond these traditional benefits, we offer Dependent Care Assistance, Flexible Spending Accounts, Public Service Loan Forgiveness, Tuition Waiver, Deferred Compensation, Employee Recognition Leave, and more. With the goal of employee health and wellness, we also offer: Flexible schedules and part-time/hybrid telework options; A Wellness Program, an Infants in the Workplace Program, and the Employee Assistance Program, which provides counseling, webinar, and other cost-free support resources; Numerous employee-driven affinity groups to foster community and connection, including Bereavement, Elder Care, Parenting, POC, LGBTQ+, Veterans and more. The AGO is a place to belong and make a difference! About the Medicaid Control Division: The work of the Office's Medicaid Fraud Control Division (MFC) focuses on both criminal and civil law enforcement. The 75% federally funded MFC‘s mission is combating provider fraud, abuse and neglect in residential facilities and involving Medicaid recipients in non-institutional settings. MFC's Headquarters is located in Olympia, Washington with some team members also located at the AGO's Spokane Office and Seattle Office. The Division currently has a staff of 64 FTEs, including attorneys, special agents, data scientists, clinical health investigators and professional support staff. MFC involves protecting not only the Medicaid program of roughly 19.6 billion dollars per annum, but also its most vulnerable persons, typically elderly persons in residential facilities or persons abused or neglected by a Medicaid Provider. In many of our cases, there is no precedent so MFC is consistently on the cutting edge of legal theories and issues. The cases range from abuse and neglect of persons in nursing homes, large scale organized individual and corporate civil and criminal fraudulent activity to national whistleblower actions. Our staff is a highly professional, fun and seasoned analytical investigative team. MFC is unique in that all cases have an attorney, special agent, data analyst assigned with legal support. This, and the great people who make up the division, gives MFC a particularly terrific team atmosphere. Duties and Essential Functions of a Data Scientist: Conduct investigative steps to identify, research and assess allegations of fraudulent billings and/or other issues. Query and analyze complex healthcare service claim and encounter data to determine utilization of complaint/allegation, and respond to data requests. Examine, analyze and research financial and billing documents; audit documents, and healthcare records obtained during the intake process, and/or collected from search warrants and Civil Investigative Demands Build concise and factual electronic investigative or analytical reports, spreadsheets and associated documents. Maintain all reports, documents, spreadsheets, correspondence and other pertinent documentation in electronic format. Conduct audits of collected data and records. Understand and apply various billing regulations and policies, and medical coding systems to analyze complex healthcare data and records to identify billing and coding irregularities. Apply statistical analysis and utilize statistical methods to determine extend of fraud. Determine valid conclusions and develop appropriate recommendations. Assist with and participate in National Association of Medicaid Fraud Control Units (NAMFCU) cases, which includes but is not limited to responding to data requests, developing investigative strategies involving data, drafting data requests, developing damage models and performance calculations based on data received from other MFCUs. Establish and maintain good working relationships with law enforcement and other local, state or federal agency staff; assist with investigations, audits, or other tasks as needed. Actively participate in and assist investigative teams. Prepare and present findings in the form of briefings and/or reports to the assigned investigative team and/or others. Participate in victim and witness interviews. Assist with search warrants and Civil Investigative Demands. Participate and provide expert testimony at trial as requested. This recruitment announcement may be used to fill multiple open positions for the same classification, in addition to the position(s) listed in this announcement. Qualifications: A Bachelor's degree with major study in finance, business administration, economics, or accounting including at least 12 semester or 20 quarter hours of accounting, finance or economics Plus Three (3) years of professional experience in one of the following: Accounting or auditing Analyzing or examining regulated entities Working for a regulated entity in advanced positions in the areas of lending, operations, analysis of loan of securities portfolios, auditing, reinsurance, investments, information system reviews or any combination of these. Additional qualifying experience may substitute year-for-year for required education. Preferred Certification: Certified Public Accountant (CPA), Accredited Financial Examiner (AFE) or Certified Financial Examiner (CFE) SKILLS AND ABILITIES: Prior experience analyzing healthcare claims data. Basic skills and experience with Coding (CPT, HCPCS ICD9, ICD10), Basic skills and experience with Microsoft Excel Microsoft Word, Microsoft Outlook, Microsoft Access; and experience with Adobe Acrobat, which includes converting Microsoft Office files to PDF files, Basic skills and experience knowledge of RAT-STATS, SQL, and PL/SQL Oracle, Advanced experience working with large and complex data sets. Experience with data visualization using Tableau, Power BI, and other similar visualization tools. CONDITIONS OF EMPLOYMENT: A background check consisting of employment history, professional references and educational verification (e.g., degree, license, or official transcript) may be conducted. Prior to any offer, the applicant selected will be required to submit to and pass a fingerprint-based criminal background check conducted by the Washington State Patrol, Criminal Records Division. The incumbent will submit to additional background checks as a condition of employment every five (5) years thereafter. About the Washington State Office of the Attorney General The Attorney General's Office (AGO) touches the lives of every resident in this state. We serve more than 230 state agencies, boards, commissions, colleges and universities, as well as the Legislature and the Governor. The Office is comprised of nearly 700 attorneys and 800 professional staff, all working together to deliver the highest quality professional legal services to Washington state officials, agencies, and entities. This includes: Economic justice and consumer protections (safeguarding consumers, protecting youth, seniors, and other vulnerable populations) Social justice and civil rights (addressing discrimination, environmental protection, and veteran and military resources) Criminal justice and public safety (investigative and prosecutorial support, financial crimes) And much more! Our agency also has national reach, representing the State of Washington before the Supreme Court, the Court of Appeals and trial courts in all cases that involve the state's interest. If you want to make a difference, we may be the perfect fit for you! Learn more about the AGO here. Commitment to Diversity Diversity is critical to the success of the mission of the AGO. This means recognizing, respecting, and appreciating all cultures and backgrounds-- and fostering the inclusion of differences between people. Appreciating, valuing and implementing principles of diversity permits AGO employees to achieve their fullest potential in an inclusive, respectful environment. One recent measure of the AGO's commitment to diversity can be found in its nomination for Rainbow Alliance and Inclusion Network's "Outstanding Agency Award" in 2019. Our commitment to employee wellness is reflected in earning the 2024 Zo8 Washington Wellness Award. APPLICATION INSTRUCTIONS: In addition to completing the online application, applicants must attach the following documents to their profile in order to be considered for this position: A letter of interest, describing your specific qualifications for the position; A current resume detailing experience and education. READ THE FOLLOWING INFORMATION COMPLETELY: Carefully review your application for accuracy, spelling and grammar before submitting. You may not reapply to this posting for 30 days. The initial screening of applications will be solely based on the contents and completeness of the “work experience” and “education” sections of your application in ******************* completeness of the application material submitted, and responses to the supplemental questionnaire. A resume will not substitute for completing the “work experience” section of the application. All information may be verified and documentation may be required. Equal Employment Opportunity and Accommodations Requests Honoring diversity, equity and inclusion means that as an agency, and as individuals, we are committed to ensuring that all employees and volunteers enjoy a respectful, safe and supportive working environment. Only by fostering the inclusion of people from all backgrounds, cultures and attributes, can AGO employees and volunteers achieve their fullest potential and best advance the goals and mission of the AGO. The AGO is an equal opportunity employer and does not discriminate on the basis of race, creed, color, national origin, sex, marital status, sexual orientation/gender identity, age, disability, honorably discharged veteran or military status, retaliation or the use of a trained dog guide or service animal by a person with a disability. Persons requiring reasonable accommodation in the application process or requiring information in an alternative format may contact the recruitment team at ***********************. Those with a hearing impairment in need of accommodation are encouraged to contact the Washington Relay Service at ************** or ************************ For questions regarding this recruitment or assistance with the application process, please contact the recruitment team at ***********************. If you are having technical difficulties creating, accessing or completing your application, please call NEOGOV toll-free at ************** or ******************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity As a Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do * Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights. Identify biases in data collection and observation. * Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques. * Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources. * Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience. What you need to succeed * Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study, or relevant experience. Alternatively, a Bachelor's degree with relevant practical experience. * Minimum 2 years of experience as a Data Scientist or in a similar role. * Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved. * Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop. * Expert in at least one programming or data manipulation language, preferably Python and SQL. * Data storytelling skills. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Job Description You could be a data scientist anywhere. Why us? Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Partner with our VP of BizOps & Analytics, Armando La Rocca (ex-BCG, Better) Disrupt a massive market and take us to a $10B business in the next few years Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company, with a focus on optimizing growth channels such as partnerships, marketing, and automation. As part of the business operations & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. How you will make an impact: Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: Bachelor’s degree in a quantitatively or intellectually rigorous discipline 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis High level of comfort with SQL or Python Who you are: You have a framework for problem solving and live by first principles You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Data Scientist What we do Within WBD Streaming, the Customer Health and Value ML team uses causal machine learning to discover and understand the behavioral dynamics that drive long-term value among our streaming customers. We enable the business to make better, faster decisions that optimize for long-term customer value by boosting engagement in the right ways and finding the best strategies to grow our active subscriber base. We're looking for a Sr. Data Scientist with a passion for driving business impact via causal modeling in the complex problem space of customer engagement and retention. What You Will Do Research, design, and build high-impact end-to-end machine learning systems for customer growth Lead the design of scalable ML solutions in production Promote and role-model best practices of data science, engineering, and communication throughout the organization Evangelize ML adoption and innovation across the product and engineering teams Foster a diverse community of data scientists and ML engineers Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions What You Will Need M.S or B.S. in Statistics, Data Science, Economics or related field 5+ years of building products with Machine Learning and Personalization Strong proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc. Knowledge and experience in applying ML to Causal Inference (Double ML, Meta-learners, Synthetic Controls, etc.) Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages Demonstrated ability to lead technical decisions Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to data scientists, engineers, and product manager audiences Passion for data-driven research, development, and experimentation Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ******************************* along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $119,700.00 - $222,300.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

**About The Role** Data scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. As a Senior Data Scientist on the Segmentation and Content Understanding team, you will lead technical efforts in developing and deploying advanced NLP and Large Language Model (LLM) solutions to enhance user experience across Disney+, Hulu, and ESPN+. This role requires expertise in deep learning model architectures, fine-tuning, customization of open-source models, and hands-on experience deploying production-grade AI solutions. **Key Responsibilities** + Develop and deploy advanced NLP and LLM solutions. + Customize and fine-tune foundational models such as BERT, GPT, and CLIP. + Create multimodal AI systems integrating text, image, and video data. + Optimize model performance (accuracy, latency, scalability) leveraging GPU infrastructure and distributed computing. + Deploy models and manage their lifecycle in production environments. + Implement robust CI/CD workflows and job orchestration for ML systems. + Follow software development best practices, including testing, code reviews, and continuous integration. + Champion and implement MLOps practices for seamless deployment and monitoring. **Basic Qualifications** + Bachelors degree in Computer Science, Engineering, Mathematics, or related field. + 5+ years of hands-on experience developing and deploying machine learning models in production environments. + Strong expertise in Deep Learning, NLP, large language models, embeddings, and related technologies. + Familiarity with transformers, attention mechanisms, multimodal models, and tokenization. + Proficient with Python, at least one of the deep learning frameworks (such as PyTorch or TensorFlow), and deep learning libraries (such as Hugging Face Transformers). + Hands-on experience with fine-tuning techniques and model optimization. + Solid understanding of hardware optimization, GPU usage, and performance trade-offs. + Proficiency in CI/CD processes, job orchestration tools, Docker, containerization, and MLOps workflows. + Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders. + Comfort working in fast-paced environments, adapting proactively to changing priorities. **Preferred Qualifications** + Master's degree in Computer Science, Engineering, Mathematics, or related field. + Experience using vector databases and retrieval systems. + Familiarity with GPU profiling and memory optimization for large models. + Familiarity with NLP techniques such as RLHF, parameter-efficient tuning, and retrieval-augmented generation (RAG). **Additional Information** \#DISNEYTECH The hiring range for this position in New York, NY and Seattle, WA is $145,400 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. **Job ID:** 10117749 **Location:** Seattle,Washington **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. F5, Inc. seeks Data Scientist II in Seattle, WA: Job Duties: Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers' applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements, designing data analysis workflow, and conceptualizing the business requirements to mathematical and statistical questions. Extract, transform, and load large amounts of network data using database management tools; use advanced SQL queries to manipulate data from various databases such as Google Cloud Platform and generate consolidated data sources for further analysis. Using Python to clean and process the network data, engineer transaction features, and extract key information from unstructured data; identify false positives and missed automated traffic; recognize the automation trends using entropy analysis, time series analysis, probability distribution and P-value calculation. Conducting root cause analysis on unusual traffic data patterns and security incidents; identify individual web automation campaigns using manual heuristics and use of scripts to discover clusters of low-randomness data and exploring similarities among distinct automation groups using hypothesis testing. Using sampling methods to split data into training and testing datasets; fit the machine learning models to make predictions, validating the model results and tune parameters and evaluating the performance of machine learning models and compute the requisite evaluation metrics. Visualizing network data using Kibana, Python, and custom tooling to identify anomalies; explore patterns and seasonality of the automated transactions and developing customized graphs and visual dashboards to address client requests and share insights with clients. Translating and interpreting analytical findings into compelling business insights, compiling professional slides by using Google Slides or Powerpoint and present statistical results and recommendations to senior executives with evidence-based reasoning and accessible storytelling. Compiling case studies on attack techniques and fraud schemes to be used by marketing and sales representatives, as well as for reference use in customer briefings and internal trainings. Presenting reports to senior executives at F5's customers and gathering client feedback to improve and advance team reporting processes and standards. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S. Minimum Requirements: Bachelor's degree, or foreign equivalent, in Computer Science, Mathematics, Statistics, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in job offered or in any occupation in a related field. Special Skill Requirements: (1) Python, (2) R, (3) Statistical Modeling, (4) Linear/Logistic Regression, (5) HTML, (6) JavaScript, (7) Structured Query Language (SQL), (8) Machine Learning, (9) Data Mining and Visualization, (10) Tableau, PowerBI, or Kibana, (11) Preparation and delivery of technical presentations leveraging advanced data analytics for executive level audiences. Any suitable combination of education, training and experience is acceptable. Telecommuting is an option. Some travel to F5 offices may be required. May travel to various, unanticipated worksites throughout the U.S. Salary: $140,551.24 - $191,550.00 per annum. Benefits: F5 offers competitive pay, 401k, and other benefits: ******************************************** Submit a resume with references using the apply button on this posting or by email at: **************** at Req.# 23-136891. #LI-DNI #LI-DNI You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: ******************************************* . F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com). Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life: We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Lead AWS Data Engineer Responsibilities Develop, optimize, and maintain ETL pipelines using Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Minimum Qualifications: Bachelor’s degree in Computer Science, Data Engineering, or a related field. 7+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: 100% Onsite in Seattle, WA Salary Range: The salary for this position is between $120K/year- $160K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Full Time with People Tech Group Role: Data Engineer Responsibilities Qualifications: Cloud Computing Experience, Azure or AWS preferred Data Warehousing Experience, Snowflake preferred Python Programming Experience, 5+ years preferred Independent Worker who can critique and contribute to architectural design proposals