Data Scientist Jobs in Mukilteo, WA

Data Engineer Duration: 12 Months Job Type: Contract Work Type: Onsite Pay Rate: $ 83.10-83.10/ Hourly TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. We are a community of 50 million who think-and feel-differently about investing. Together, we're changing the way the world invests. Since our founding in 1975, helping investors achieve their goals has been our main reason for existence. At Client, we're built differently. Our client is investor-owned, meaning that we're owned by our funds, which are owned by our fund shareholder clients. Therefore, your success adds to ours, so you're surrounded by people who care about the same things. With no other parties to answer to, we make decisions-including keeping investing costs as low as possible-with your needs in mind. Because of our unique structure, your goals align with our goals. Job Description: Data Engineer Role Key Technical Requirements: SQL Expertise: Strong knowledge of SQL for complex querying, optimization, and database design. Experience with time-series databases, preferably Timestream. Timestream: Hands-on experience in designing, implementing, and managing time-series data in the Timestream. Proficiency in defining retention policies, querying, and optimizing time-series data workflows. Python Development: Proficiency in Python for data engineering tasks, including integration with AWS services. Experience with Python libraries such as Pandas, SQLAlchemy, or PySpark for handling data processing and analysis. AWS Cloud Services: Deep knowledge of AWS services related to data engineering such as S3, Lambda, Redshift. Experience with managing data pipelines, security, and automation on AWS. Database Design & Management: Experience in schema design, performance optimization, and maintenance for both relational and NoSQL databases. Understanding of best practices for cloud-based database management, including backup, disaster recovery, and monitoring. Problem Solving & Performance Optimization: Strong troubleshooting skills for performance issues in both data pipelines and databases. Experience with scaling databases and pipelines to accommodate increasing data volume and complexity. Candidate Requirements: REQUIRED SKILLS Years of Experience: 4- 5 Years Leadership Principle: Learn and Be Curious, Dive Deep Top 3 must-have hard skills Strong knowledge of SQL for complex querying, optimization, and database design Python for data engineering tasks AWS TekWissen Group is an equal opportunity employer supporting workforce diversity.

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. 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: ******************************************* 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.

🚀 Whatnot Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We're building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote co-located team, we operate out of hubs within the US, UK, Ireland, Poland, and Germany today. We're innovating in the fast-paced world of live auctions from fashion, beauty, electronics to collectibles like trading cards, comic books, and even live plants. Whatnot has something for everyone. And, we're growing. Whatnot has been one of the fastest growing marketplaces and we're hiring forward-thinking problem solvers across all functional areas. 💻 Role We are seeking a dynamic People Analytics Data Scientist with a proven track record of success in building out and leading people analytics strategies and practices in a fast-paced environment. We are looking for a leader with expertise in driving the transformation of data into actionable insights to empower informed talent decisions, optimizing talent metrics that align with business objectives, and strengthening the analytical capabilities of the people team. This role combines strategic direction, first in role execution and hands-on expertise to ensure Whatnot finds and recruits top talent, improves team development and retention and drives employee engagement. The People Analytics Data Scientist will: Lead and execute the comprehensive people analytics strategy aligned with the organization's goals in partnership with the People team, business leaders, data scientists, and IT Build out the people analytics structure based on strong foundations, organizational efficiency, predictive insights, and prescriptive impacts with the overall goal of creative competitive advantages Develop and deliver (ongoing and ad hoc) dashboards, reports and presentations that effectively communicate insights to managers, leaders, and other stakeholders Build and maintain scalable data pipelines by tying together disparate data sources - often in an ad hoc fashion - for analysis-ready formats and automated reporting/monitoring of org health metrics Analyze patterns in the data and utilize predictive modeling to surface new insights and forecast organizational needs in order to identify top talent, increase employee retention, maximize the impacts of comprehensive company culture Collaborate with People Business Partners and senior leaders to deeply understand how Whatnot operates, build strong cross-functional relationships, and translate data into actionable strategies that address Whatnot's unique challenges Ensure data integrity, quality, and alignment across all systems and tools by partnering with Data Engineering, IT, and People Teams; support strong governance and secure access controls for employee data Identify, implement and manage people analytics tools and platforms, ensuring they meet the evolving needs of the organization and facilitate self-service capabilities in coordination with other People/Talent tools Drive communication and change management efforts to ensure the successful adoption of analytics initiatives and data-driven people and talent processes across the organization Enforce responsible data use by upholding privacy, ethical standards, and fairness in all people analytics initiatives US Based Role: Required to be within commuting distance of our Los Angeles, Seattle, New York or San Francisco Hubs 👋 About You We are looking for an intellectually curious and highly motivated leader to be a foundational member of our Data team! You thrive in ambiguous environments and love building things from scratch. You're a blend of data scientist, storyteller, and business partner, with a passion for uncovering insights that drive better people decisions. You have a strong technical foundation in people analytics but also know how to translate data into narratives that influence leadership. You're scrappy, hands-on, and comfortable balancing strategic projects with tactical execution. Working in People Analytics demands more than technical skill - it requires a deep understanding of the human element, a commitment to ethical practices, and the ability to blend messy, imperfect quantitative data with rich qualitative insights to tell a full, honest story. As our first People Analytics Data Scientist, you will be responsible for driving the scientific rigor of our workforce analytics strategy. You will work cross-functionally with our People, Finance, and Business teams, as well as data science and engineering partners, to build best-in-class frameworks that inform how we attract, retain, and develop our people. You will serve as a technical authority on statistical methodology, predictive modeling, and workforce analytics, and be a mentor and thought partner to others across the organization. You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for influencing through data in a fast-paced environment. Data-driven decision-making is critical to our success, and you should feel comfortable working with and through others to create a scalable, impactful approach to people insights. The ideal candidate will be adept in the collection, analysis and interpretation of people data to identify trends and actionable insights across the employee lifecycle, from candidates to exits, on areas such as talent acquisition and retention, employee engagement, and performance, while upholding data quality standards. You are comfortable making decisions and working quickly and iteratively. Working with real-world people data means balancing scientific rigor with practical business needs and evolving organizational priorities. The ideal candidate should enjoy having impact across multiple teams and functions without feeling burdened by the fast pace and wide surface area of the work. In addition to 6+ years of experience in the Data Analytics field, you should have: 3-6 years of experience in People/HR Analytics or related fields, ideally in high-growth or dynamic environments. Proven experience establishing and scaling a people analytics function. Strong technical skills, including proficiency in SQL and Python or R, with demonstrated experience building ETL pipelines and integrating data from disparate systems. Able to independently extract, clean/manipulate, and transform large data sets into structured, analysis-ready formats. Committed to ethical use of employee data, ensuring privacy, confidentiality, and transparency in analytics initiatives. Experience building scalable, automated reporting solutions using HRIS (preferably Workday), people platforms (e.g. OneModel, Ashby, CultureAmp, feedback/engagement tools), and other dashboarding and visualization tools (e.g., Sigma, Tableau, Power BI, Looker). Solid understanding of HR data and processes, including retention/attrition analysis, engagement survey analytics, talent acquisition metrics, remote work, and workforce planning. Familiarity with survey design and employee research methodologies is a plus. Strong business acumen: ability to translate people data into meaningful, actionable insights that support strategic workforce decisions. Demonstrated success working cross-functionally across People, Finance, and Business leadership teams. Comfort working independently and prioritizing multiple projects in a fast-paced, ambiguous environment. Excellent communication skills, both written and verbal, with an emphasis on storytelling with data for non-technical audiences. Ability to balance tactical execution with strategic thinking, understanding when to dive deep and when to simplify for action. 💰Compensation For US-based applicants: $185,000/year - $240,000/year + benefits + equity The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance on both food and wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally Monthly allowance to dogfood the app All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

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.

We’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. We thrive as One Team, built on values: We Foster a Culture of We by prioritizing connection and collaboration. We Drive toward Excellence by investing in professional growth and cultivating thought leadership. We Act with Integrity by doing the right thing and bringing our best selves to the table. To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. Job Description As a Data Scientist joining Logic20/20’s Advanced Analytics practice, you’ll transform data into powerful insights capable of driving enlightened decision-making. You’ll work closely with the client to understand their business needs, then frame those needs as statistical problems and solve them with leading-edge methodologies. Along the way, you’ll be a part of a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skillsets in creating world-class solutions. What you’ll do: Learn and deploy new programming languages, algorithms, and applications Quantify the value of existing data and provide roadmaps for future development Model knowledge of machine learning techniques and develop solutions in Python, SQL, and/or R Grasp opportunities to broaden your scope into the realms of data engineering and data visualization Build models of customer satisfaction that provide detailed insight into what drives customer actions Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making Qualifications Must have: 5+ years of strong Python experience 2+ years of experience developing and deploying Computer Vision models that operate at scale Cloud experience with Azure, AWS, and/or GCP Experience building statistical models Knowledge of statistics and machine learning techniques Experience building data pipelines Strong verbal and written communication skills Preferred: Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline Experience working in the utilities industry Consulting experience Additional Information All your information will be kept confidential according to EEO guidelines. At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $120,000 - $162,000. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at ********************************************* Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: ************************************************************ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

As a Data Scientist joining Logic20/20's Advanced Analytics practice, you'll transform data into powerful insights capable of driving enlightened decision-making. You'll work closely with the client to understand their business needs, then frame those needs as statistical problems and solve them with leading-edge methodologies. Along the way, you'll be a part of a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skillsets in creating world-class solutions. What you'll do: * Learn and deploy new programming languages, algorithms, and applications * Quantify the value of existing data and provide roadmaps for future development * Model knowledge of machine learning techniques and develop solutions in Python, SQL, and/or R * Grasp opportunities to broaden your scope into the realms of data engineering and data visualization * Build models of customer satisfaction that provide detailed insight into what drives customer actions * Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc. , builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. Requires Bachelor's Degree (Or Foreign Degree equivalent) in Business Administration with a statistical focus like Logistics and/or Business Technology, Logistics Management, Statistics, Mathematics, Data Analytics. Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and 2 years of experience in job offered or in a related occupation. Requires 24 months of experience involving the following: 1. Features, design, and use-case scenarios across a big data ecosystem 2. Custom ETL design, implementation, and maintenance 3. Schema design and dimensional data modeling 4. Writing SQL statements 5. Analyzing data to identify deliverables, gaps, and inconsistencies 6. Managing and communicating data warehouse plans to internal clients 7. Python

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.

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 **************.

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. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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.

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.

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

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 Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway, USA - CA - Market St, USA - NY - 7 Hudson Square Date Posted: 2025-04-01