Data scientist jobs in Kent, WA - 447 jobs

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a highly technical and hands-on Staff Data Scientist to contribute to the development of AI-driven data products across the Visa Acceptance Platform. In this role, you will work closely with engineering, product, and architecture partners to design, build, and deploy machine learning solutions that operate at global scale. This is an execution-focused role for an experienced data scientist who thrives in production environments and enjoys solving complex data and modeling problems that directly impact customers. What You Will Do (Essential Functions) Design, develop, and deploy machine learning models and data solutions that support analytics, predictive insights, and AI-powered platform features. Perform data exploration, feature engineering, modeling, and validation using large, complex datasets. Build, maintain, and improve data pipelines and model workflows in partnership with engineering teams. Apply appropriate metrics and evaluation techniques to measure model performance, reliability, and business impact. Collaborate with Product, Engineering, and Security partners to translate business requirements into scalable and secure data science solutions. Contribute to platform modernization efforts by improving data quality, performance, reliability, and observability. Support operational readiness through monitoring, troubleshooting, and continuous improvement of deployed models. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 2+ years of experience building and deploying AI/ML models for analytics, predictions, or recommendations in production environments. 3+ years of experience working with large-scale data technologies such as Spark, Kafka, Hadoop, Hive, NoSQL, or relational databases. 2+ years of experience designing and maintaining ETL or data pipelines. Experience working with big data, distributed systems, and batch or streaming data processing. Strong understanding of metrics design, experimentation, and model evaluation techniques. Proficiency in Python and SQL; experience with modern ML frameworks is a plus. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 145,300.00 to 232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

**Job Description**As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world.UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.**The Department of Medicine is seeking a highly skilled and experienced Biostatistician to join our team and serve as the Director of a new departmental Analytical Core.** The Department of Medicine is the largest department in the School of Medicine with over 3900 staff, faculty, trainees and students within eleven subspecialties divisions. Learn more about our department at . **ABOUT THE ROLE** The role of the Biostatistician and Director is to provide complex and critical consulting, leadership, statistical expertise, data analysis, and data interpretation services to advance and support the research community within the department and the university. The Biostatistician will have the opportunity to design and shape key processes and procedures in the Data Analytics Core. This position requires the ability to work independently, manage multiple overlapping data analysis projects, and communicate effectively with staff and faculty on a wide range of topics. Given the substantial volumes and diverse data types involved in these projects, fluency with various statistical/programming software is essential. There is a growing need for multifaceted centralized analytic support within the Department of Medicine and the UW and the Biostatistician contributes to the growth and success by executing the department's mission and vision. The goal of this position is to provide and create department-wide biostatistical support for faculty-initiated projects as part of the departmental Data Analytics Core team. This position requires accuracy, efficiency, flexibility, creativity, and a desire to serve multiple stakeholders, while working within UW regulations. We anticipate near term growth; thus, the incumbent would also be responsible for recruiting and onboarding additional master's level analysts and leading the project management across the team. The position reports to the Vice Chair of Research, and partners with multiple senior leaders in the department.**DUTIES AND RESPONSIBILITIES *Analytical = 75%**** Research and determine appropriate methodologic procedures for a range of statistical analyses, including biostatistics and bioinformatics.* Be able to perform multivariable statistical analyses using advanced analytic approaches.* Collaborate with individuals or interdisciplinary research teams on projects from inception through publication. Tasks may include assessing feasibility, developing objective(s), performing sample size and power calculations, generating and implementing randomization schema, and writing statistical sections of research protocols and manuscripts (e.g., statistical analysis plan).* Develop knowledge and skills in established and emerging analytical techniques.***Data Analytic Core Management = 25%**** Direct day-to-day operations of the Data Analytic Core, including triaging requests for data analysis and overall project management* Recruiting, onboarding, assigning projects, offboarding a team of data analysts.* Advertise and promote the Core to the faculty and trainees, and provide consultation for new data analytic requests* Work collaboratively across the Department and the School of Medicine to bring together a data analytic network* Partner with the Senior Director of Operations and the CFO to ensure projects are being charged out appropriately and that there is a financial sustainability plan.**MINIMUM REQUIREMENTS*** Doctoral Degree in Statistics, Biostatistics, Epidemiology or a related field and at least 2 years' related experience with progressive responsibility at a diverse, complex, multi-faceted organization.*Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.* **ADDITIONAL REQUIREMENTS*** Demonstrated dedication to equity, diversity and inclusion.* Demonstrated experience and advanced knowledge with SAS, R, Python, STATA, or other coding language and programming software.* Experience with federal grant submissions, including proposals to the NIH and DOD* Strong analytical communication, critical thinking and problem-solving skills.* Excellent time management skills and ability to prioritize projects.* Strong focus and quality and timely delivery of work.**DESIRED QUALIFICATIONS*** 7 years' related experience* Previous experience in a consultant-based model/shared service, research setting and/or medical setting.**WORKING ENVIRONMENTAL CONDITIONS** • In a deadline-driven environment, occasional evening or weekend hours may be required. #UWDeptMedicineJobs**Compensation, Benefits and Position Details****Pay Range Minimum:**$150,000.00 annual**Pay Range Maximum:**$185,904.00 annual**Other Compensation:**-**Benefits:**For information about benefits for this position, visit ********************************************************************* Shift (United States of America) This is a regular position**FTE (Full-Time Equivalent):**100.00%**Union/Bargaining Unit:**UAW Research**About the UW**Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.**Our Commitment**The University of Washington is proud to be an . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.To request disability accommodation in the application process, contact the Disability Services Office at ************ or dso@uw.edu.Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under .### BenefitsThere are many perks to working for the University of Washington. Learn more about the that could be available to you as a UW employee. #J-18808-Ljbffr

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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 Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. 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 Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology 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

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems and impact millions of users You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews and educational sessions for the team Working with our partners in academia to stay at the very forefront of R&D in our space What we look for in a candidate: More than five years of experience after completing PhD, or equivalent demonstrable industry experience PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Research track demonstrated by top-level journal and conference publications Strong problem-solving and self management skills Passion for technical and scientific excellence Strong communication skills and capacity to report and disseminate results Perks: Competitive salary with stock options Healthcare plan Competitive vacation and leave policy Unlimited in-house healthy snacks & drinks Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. * Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. * Collaborate with product and service teams to identify analytical questions and conduct experiments. * Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. * Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. * Support the deployment of data science models into production and contribute to ongoing feature development and optimization. Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. * 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). * Proficiency in at least one programming language such as Python or R. * Experience with data cleansing, integration, and statistical analysis techniques. * Ability to communicate technical findings clearly to both technical and non-technical stakeholders. Preferred Qualifications * Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). * Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). * Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. * Proven ability to develop strong data visualizations and present complex data insights effectively. * Experience contributing to patent applications, publications, or research projects. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Summation is building the future of business planning and analytics by bridging the gap between data and decision-making. We empower organizations to transform complex data into clear, actionable insights that drive business outcomes. Our AI-native platform integrates advanced data models with intuitive workflows, making enterprise performance management simple, collaborative, and effective. The Role We're looking for Forward Deployed Data Scientists to work directly with our enterprise clients: understanding their business, wrangling their data, and building the systems that let them actually run their business with data. This is hands-on, high-impact work. You'll be embedded with enterprise clients, helping them go from "our data is a mess and everything lives in spreadsheets" to "we have systems that actually let us run the business." The interesting part isn't just solving one client's problem-it's figuring out how to solve it in a way that's repeatable, scalable, and increasingly automated. The work involves SQL and Python, but the real job is architecting processes that work. You're not just writing queries-you're building the systems and workflows that let us (and AI) do this work faster and more reliably for every client that comes after. What You'll Do Client Work Work directly with client finance, analytics, and operations teams to understand their data and what they're trying to accomplish Translate undocumented schemas and fragmented datasets into clean, structured data-and do it in a way that's repeatable with AI, not just a one-off Build the analytical foundation that lets clients actually run their business with data (resource allocation, scenario planning, business reviews that produce decisions, not just slides) Apply statistical methods and modeling to answer business questions and validate that the systems are working Building for Scale As you solve problems for specific clients, extract reusable patterns and components. Your work compounds: the systems you build for one client become the starting point for the next five. Help build the playbook and tooling that lets us onboard future clients faster Contribute to our understanding of how to teach AI to do more of this work autonomously Develop forecasting models and optimization systems that generalize across clients Working with AI Supervise teams of AI-powered agents to do data science work at scale-think of yourself as managing a squad of fast, capable (but imperfect) junior analysts Re-engineer how data work gets done: what used to take two weeks should take two days, and what took two days should be automatic Build the sanity checks and feedback loops that let you trust AI outputs-if something's off, you should know immediately Continuously improve our workflows-kaizen for the AI era. Figure out what the AI can't do yet, teach it, and iterate Who You Are Must-haves Strong SQL and data fundamentals. You can write complex queries, design schemas, and debug data issues. But more importantly, you understand data well enough to architect processes around it-not just execute tasks. Production mindset. You don't just hand off a Jupyter notebook; you build systems that run reliably long after you've left the room. Python and statistical fluency. You're comfortable with the modern data science stack and can apply statistical methods to real problems. You understand when a simple heuristic beats a complex model. Experience with data modeling and financial/business metrics. You've built KPIs, dashboards, business reviews, or similar. You understand what a P&L is and aren't scared of accounting concepts like journal entries and allocations. Product and business intuition. You can look at a business problem and figure out what needs to be built, not just how to build the schema. You could probably be a PM or a BizOps lead, but you chose to be technical because you like building things that work. Comfort with ambiguity and client-facing work. You can talk to a VP of Finance, understand their problem, and translate it into a data solution. You don't need everything defined before you start. AI fluency. You understand how to supervise AI-setting up feedback loops, verifying outputs, knowing when to trust it and when to dig in yourself. High ownership and motivation. We care more about your drive than your pedigree. Performance = motivation × capability, and if you're motivated, you'll acquire whatever capabilities you're missing. Nice-to-haves Experience at a growth-stage startup where you had to scale operations, build from scratch, or wear multiple hats Familiarity with dbt, Snowflake, Airflow, or similar modern data stack tools Prior work on pricing, marketplace dynamics, financial reporting, or resource allocation problems Experience with forecasting, optimization, or reinforcement learning concepts (we're building systems that help businesses allocate resources dynamically) Experimentation and causal inference background-A/B tests, pricing experiments, propensity matching. Knowing how to measure the impact of interventions, not just describe correlations. Bayesian thinking-comfort with uncertainty, updating beliefs with data, and building models that reflect how the world actually works What we're not looking for Black-box ML practitioners who want to throw data at neural nets without understanding the business problem. We value interpretable models and knowing why something works. People who need extensive structure or management. We're a small team; you'll have a lot of autonomy and responsibility. Anyone uncomfortable with the pace of change in AI. The tools are evolving fast, and so is how we work. What We Offer Competitive salary and equity options Remote-friendly with expectation of monthly travel to Bellevue and periodic client visits Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family 401(k) Plan Parental Leave Opportunities for growth and career development

Apply knowledge of advanced analytic algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drive productivity. Use in-depth knowledge of the data science and AI landscape and hands-on expertise to implement solutions in production environments Shape advanced conceptual thinking to solve complex or novel situations that have never been dealt with before Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses Create and mine datasets in Google BigQuery and other company data sources to support analyses Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions Explore new technologies to enhance the Data and Analytics team's data ecosystem Aid in the development of best practices used in business metrics analysis Support process improvement discussions with stakeholders informed by analytical insights Participate in business partner-facing presentations and meetings as needed Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines Qualifications Bachelor's / Master's degree / Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience. Typically, 3+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience. Experience in data-driven insight development and decision making. In-depth experience using machine learning algorithms. Strong coding skills. Experience with deploying models into production with formal MLOps frameworks. Experience with distributed computing languages (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML). Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Perl) and machine learning /deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML, Huggingface). Collaboration & team skills; with a focus on cross-group collaboration Additional Information All your information will be kept confidential according to EEO guidelines.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Docker is seeking a Data Scientist to join our Data Insights team. You will be a key individual contributor, applying statistical rigor and advanced analytical techniques to extract value from our product and business data. This role requires a strong understanding of product usage to provide actionable insights that drive business strategy and feature development. This is a hands-on analytical role focused on independent execution, deep-dive analysis, and translating complex data into clear business recommendations. You'll work closely with Product Managers, Executive Leaders, and Engineering teams to define key metrics, measure product health, and inform data-driven decisions. Success in this role requires a strong foundation in statistics, advanced SQL skills, and proven experience in product experimentation and reporting for a technical audience. Responsibilities Product Analytics & Experimentation Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics. Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders. Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health. Strategic Insights & Reporting Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap. Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative. Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. Technical Execution & Modeling Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). Design and implement data visualizations and self-service dashboards to democratize data access across the organization. Ensure data quality and integrity for all analytical outputs and reports. Collaboration & Communication Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives. Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results. QualificationsRequired: Technical Expertise 3+ years of experience in a Data Scientist or Product Analyst role, preferably within a technology or SaaS company. Expert proficiency in SQL for complex data extraction and manipulation. Strong proficiency in a statistical programming language (Python or R), including libraries for data manipulation, analysis, and statistical modeling. Proven experience designing, launching, and analyzing A/B tests or other product experiments. Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and data visualization tools (e.g., Sigma, Tableau, Looker). Analytical & Statistical Foundations Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis) and their application to business problems. Demonstrated ability to translate open-ended business questions into structured analytical projects and deliverables. Communication & Leadership Excellent verbal and written communication skills, with the ability to present complex analytical findings to both technical and executive audiences. Demonstrated ability to work independently and drive projects from conception to completion with minimal supervision. Preferred: Experience analyzing data related to developer tools or B2B SaaS products. Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. Knowledge of container technologies (Docker, Kubernetes). Key Success Metrics Impact of actionable insights on product feature adoption and business revenue. Quality and clarity of executive-level deep-dive reports. Successful design and interpretation of product experiments. Demonstrated independence in driving analytical projects. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Mandatory Technical Skills: • Proficient in SAS/R • Proficient knowledge of TSQL • Proficient knowledge SSIS and ETL • Knowledge of SSRS and SSAS • Should be a developer proficient in TSQL, SSIS/ETL along with SAS • Should be proficient in programming (preferably in C#) • Working knowledge of Microsoft products and understanding of pivot tables and charts Desirable Technical Skills: • Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph • Good to have - Basic statistical understanding and usage of measures of centrality, measures of spread, and normal versus extreme values • PDW (Parallel Data Warehouse/ Microsoft Analytics Platform) experience (good to have) • COSMO, Hadoop, big data experience (good to have, but not necessary) Mandatory Functional Skills: • Ability to communicate clearly in writing and verbally • Willingness to work in team and to received directions • Must be able to meet and communicate with internal clients and data scientists • Gather data requirements from Data Scientists, extract data and represent it presentable formats/reports • Participate in meetings between team and client • Be able to deal with ambiguity and changes • Have strong collaboration skill - create a trusted and cooperative environment through open communication of ideas to achieve the team's goal • Have strong communication skill - ability to convey the right information and influence other towards desired action either verbally or by written means Desirable Functional Skills : • It will be a great plus if the candidate have worked with Microsoft in past Total Experience Required: 5+ Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Will need motion learning knowledge, will need to know at least one SAS or ART language, will need experience building motion learning models and have past experience with forecasting. Required Skills: • 5-6 years of experience required • Experience in writing or building models from motion learning. • Need to know languages SAS/ART. • Need to have data analyst experience. • Analyzing and forecasting experience • SQL programming data analysis skills. • Bachelors, Tech experience • Motion learning knowledge Nice to have Skills: • Knowledge in Marketing • Masters Additional Information All your information will be kept confidential according to EEO guidelines.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 02/15/2026 *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. \#LI-Remote _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 (***************************************************************************************************************************

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! As a Senior AI Data Scientist you will * Build, fine-tune and implement AI and machine learning models to solve challenging problems within the animation space * Ensure AI and machine learning production pipelines are scalable, repeatable and tool agnostic * Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas to expand the animation space * Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique * Work in partnership with game teams to integrate AI solutions into products and services. * Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Document and present findings and solutions to stakeholders. Desired qualifications and experience * A minimum of 3+ years of experience in data science * A minimum of 1+ years working in the animation space of AI/ML * PhD or MSc in statistics, mathematics, computer science, or related field * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools and principles (Git, CI/CD, Docker) * Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.) * C++ and game engine experience is a plus * Interest & expertise in animation is desired Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$160,600 - $249,300 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$149,200 - $205,500 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are looking for aversatile, curious, and highly technical Lead Data Scientistto shape the future of AI and data products across the Visa Acceptance Platform. You will partner with engineers, product leaders, and AI researchers to design, deploy, and scale advanced machine learning solutions across a global ecosystem. In this role, you will: Define technical strategy for AI/ML models supporting global payments and next-generation agentic commerce experiences. Mentor a high-performing team and establish best-in-class practices for data science, MLOps, and model governance. Lead endtoend development of large-scale data solutions-from data extraction through modeling, deployment, and monitoring. Drive platform transformation initiatives that enhance delivery efficiency, improve model performance, and enable new product opportunities. What You Will Do (Essential Functions) Providetechnical leadershipin designing scalable, maintainable, and secure data science solutions; set standards for modeling, coding patterns, and MLOps. Lead efforts to improvedata extraction, data quality, lineage, and governance, partnering with engineering teams across the platform. Develop strategies forwrangling, modeling, and leveraging high-volume structured and unstructured datausing modern AI/ML techniques. Guide conversations with Product, Cybersecurity, and Engineering to clarify complex business and technical requirements and ensure secure deployment. Identify emerging patterns across massive datasets to influence platformwide enhancements, roadmap decisions, and AI-driven product improvements. Drive modernization opportunities including software upgrades, security patches, and infrastructure improvements. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications 12+ years of relevant work experience with a Bachelor's Degree in Computer Science or Data Science or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. 3+ years building and deploying AI/ML models for predictive analytics or insights. 4+ years working with large-scale data technologies such as Hadoop, Hive, Kafka, Spark, Redis, NoSQL, or RDBMS. 2+ years designing and maintaining ETL or data pipelines. Experience working with Big Data, distributed computing, and streaming/real-time systems. Strong experience in metrics design, experimentation, and model evaluation. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 180,000.00 to 288,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Title:Data Gov -Unity Catalog Platform Engineer (Optimize distributed workspaces in Databricks leveraging Unity Catalog.) Hiring Urgency: Immediate Requirement Company: Capgemini Employment Type: Full-Time- Hybrid Summary: Capgemini is urgently seeking a Data Governance to enterprise-level metadata and data access initiatives. The ideal candidate will have deep expertise in Collibra, Databricks, Unity Catalog, and Privacera, and will drive strategic alignment across technical and business teams. This role is open to relocation and offers the opportunity to shape scalable, secure data ecosystems. Your Role Metadata Management & Design and implement enterprise metadata models in Collibra aligned with business goals. Integrate metadata workflows with Unity Catalog and Synaptica for enhanced discoverability. Data Access Governance Implement and govern secure data access using Privacera. Optimize distributed workspaces in Databricks leveraging Unity Catalog. Standards & Best Practices Define standards for efficient use of Databricks environments. Champion metadata governance and utilization across teams. Strategic Leadership Develop transition architecture roadmaps with clear milestones and success metrics. Align cross-functional stakeholders around a unified data discovery vision. Foster collaboration and clarity in complex, ambiguous environments. Innovation & Thought Leadership Promote innovative solutions in ontology, data access, and discovery. Serve as both a strategic leader and hands-on contributor. Your skills and experience: Extensive hands-on experience with Databricks, Collibra, Unity Catalog, and Privacera. Proven success in implementing distributed Databricks workspaces. Strong background in metadata modeling, data architecture, and enterprise-scale data discovery. Familiarity with data governance frameworks and compliance standards. Skills & Technologies: Collibra Data Governance Metadata Management Databricks Unity Catalog Privacera Synaptica Information Technology Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief

The application window is expected to close on: **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. **Meet the Team** The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. **Your Impact** As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. + Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. + Collaborate with product and service teams to identify analytical questions and conduct experiments. + Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. + Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. + Support the deployment of data science models into production and contribute to ongoing feature development and optimization. **Minimum Qualifications** + Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. + 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). + Proficiency in at least one programming language such as Python or R. + Experience with data cleansing, integration, and statistical analysis techniques. + Ability to communicate technical findings clearly to both technical and non-technical stakeholders. **Preferred Qualifications** + Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). + Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). + Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. + Proven ability to develop strong data visualizations and present complex data insights effectively. + Experience contributing to patent applications, publications, or research projects. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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

**_What Data Science contributes to Cardinal Health_** The Data & 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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 (***************************************************************************************************************************

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! As a Senior AI Data Scientist you will: * Build, fine-tune and implement AI and machine learning models to solve challenging problems * Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic * Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas * Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique * Work in partnership with game teams to integrate AI solutions into products and services. * Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Document and present findings and solutions to stakeholders. Desired qualifications and experience: * A minimum of 3+ years of experience in data science * PhD or MSc in statistics, mathematics, computer science, or related field * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools and principles (Git, CI/CD, Docker) * Effective within Cloud environments (GCP, AWS) * Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.) * C++ and game development experience is a plus. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$160,600 - $249,300 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$149,200 - $205,500 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.