Senior data scientist jobs in Tacoma, WA - 380 jobs

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you're considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Deploy AI models into production environments, ensuring scalability, performance, and optimization. Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience. Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca Life and disability insurance Employee assistance pro Other benefits as provided by local policy and eligib

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.

Symetra has an exciting opportunity to join our team as a Sr. Data Engineer! About the Role Symetra is looking for a Data Engineer to join our Data Management team. In this role, you'll Architect and develop modern cloud-based solutions for the enterprise data warehouse, data marts, and data platforms. Lead in the delivery of significant projects, guiding and mentoring other data engineers to deliver modern cloud ETL/BI solutions. What you will do Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc. Research, analyze, recommend and select technical approaches for solving exciting and complex development and integration problems. Create and maintain automated methods of orchestrating data flows and products while monitoring data quality and the status of related infrastructure. Implement additional project components (API interfaces) for accessibility. Implement secure cloud data solutions which align to privacy and security controls. Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality. Why work at Symetra "The atmosphere at Symetra is truly different than at other companies. If you are looking for a company where your voice will matter and be heard, Symetra is the place for you."Sydney S. - Actuarial Associate III "I chose Symetra because I heard it was a pro-employee company-and it's absolutely true. The work environment is supportive, the people are great, and the benefits are generous. Symetra truly cares about its employees. The relaxed atmosphere and opportunities to learn and grow-both within your role and beyond-make it a great place to build your career." - Alicia L., Claims Examiner What we offer you We don't take a "one-size-fits-all" approach when it comes to our employees. Our programs are designed to make your life better both at work and at home. Flexible full-time or hybrid telecommuting arrangements Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6% Paid time away including vacation and sick time, flex days and ten paid holidays Give back to your community and double your impact through our company matching Want more details? Check out our Symetra Benefits Overview Compensation Salary Range:$113,700 - $189,400 plus eligibility for annual bonus programs Who you are A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it Contribute to the overall data platform architecture and evolution Experience with data concepts (SQL, NoSQL, Normalization) and working with complex data structures Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams) Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go Working knowledge of scripting languages such as bash or powershell Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems Working experience with various stream analytics technologies Familiarity with modern engineering practices, including agile development, CI/CD and devops High school diploma required. We empower inclusion At Symetra, we aspire to be the most inclusive insurance company in the country. We're building a place where every employee feels valued, respected, and has opportunities to contribute. Inclusion is about recognizing our assumptions, considering multiple perspective, and removing barriers. We accept and celebrate diverse experiences, identities, and perspectives, because lifting each other up fuels thought and builds a stronger, more innovative company. We invite you to learn more about our efforts here. Creating a world where more people have access to financial freedom Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In our daily work, we're guided by the principles of Value, Transparency and Sustainability. This means we provide products and services people need at a competitive price, we communicate clearly and openly so people understand what they're buying, and we design products--and operate our company--to stand the test of time. We're committed to showing up for our communities, lifting up our employees, and standing up for diversity, equity and inclusion (DEI). Join our team and help us create a world where more people have access to financial freedom. For more information about our careers visit: careers Work Authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and must maintain authorization to work in the United States throughout their employment with our company. Please review Symetra's Remote Network Minimum Requirements: As a remote-first organization committed to providing a positive experience for both employees and customers, Symetra has the following standards for employees' internet connection: Minimum Internet Speed:100 Mbps download and 20 Mbps upload, in alignment with the FCC's definition of "broadband." Internet Type: Fiber, Cable (e.g., Comcast, Spectrum), or DSL. Not Permissible: Satellite (e.g., Starlink), cellular broadband (hotspot or otherwise), any other wireless technology, or wired dial-up. When applying to jobs at Symetra you'll be asked to test your internet speed and confirm that your internet connection meets or exceeds Symetra's standard as outlined above. Identity Verification Symetra is committed to fair and secure hiring practices. For all roles, candidates will be required (after the initial phone screen) to be on video for all interviews. Symetra will take affirmative steps at key points in the process to verify that a candidate is not seeking employment fraudulently, e.g. through use of a false identity. Failure to comply with verification procedures may result in: Disqualification from the recruitment process Withdrawal of a job offer Termination of employment and other criminal and/or civil remedies, if fraud is discovered #LI-BW1 #LI-Remote

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Responsibilities: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Work with large, complex data set to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development. Construct and implement metrics to enhance measurement and governance of the business integrity associated with ads and the quality of ads. Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis, forecasting, and optimization methods to improve the quality of ads products. Mentor junior-level Data Scientists. Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related quantitative field, and 3 years of related work and/or research experience. In lieu of a Bachelor's degree, employer will accept an additional 2 years of related work and/or research experience. Of the required experience, must have 3 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, or causal inference experiments; Conducting exploratory and predictive analysis using Python, R, or Scala programming language; Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tool Tableau or Excel; and Building, tuning, and validating statistical models for regression and classification problems in Python. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $196914 - $312867 per year To Apply, click the apply button below. Contact *********************** if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we're hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Requirements We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers. We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else. What you'll do * Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business. * Build and implement models within AI-agentic environments that drive product performance - including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer). * Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar. * Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs. * Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes. * Identify and tackle opportunities and risks across the business that can be addressed through data. * Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms. * Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation. What you'll bring * Proven record of building and implementing models at velocity to drive tangible business outcomes. * Expertise in machine learning, applied statistics, and modern AI/ML techniques. * Strong grasp of experimentation frameworks and designing for scalability and maintainability in production. * Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences. * Deep understanding of product development cycles and how data science integrates into product decisions. * Experience mentoring or leading a data science team. * Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines. * Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: * A competitive base pay * Medical Benefits * Discretionary incentive plan based on individual and company performance * Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways * Flexible work policy

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. **Job ID:** 10137363 **Location:** Seattle,Washington **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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.

**_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 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.

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.

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 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

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

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.

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 * 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.