Top Data Science Jobs in Seattle, WA

The Staff Data Scientist will lead strategic research initiatives, develop predictive models linking product usage to business outcomes, and influence product roadmap and GTM strategies through insights and executive presentations.

The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with clients, integrate data, enhance ML algorithms, and drive product strategy for customer success in AI deployment.

As a Forward-Deployed Data Scientist, you will collaborate with customers, implement data solutions, enhance architectures, and advance reinforcement learning algorithms to ensure customer success.

As a Data Scientist at Opendoor, you will build pricing models and frameworks, run experiments, and collaborate with teams to enhance pricing accuracy and business strategy.

The Data Scientist Intern will support analytics by applying machine learning techniques, developing predictive models, and translating data insights into actionable recommendations during the internship period.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

As a Data Scientist Co-op, you'll support analytics and decision-making, develop predictive models, and collaborate on data-driven solutions while learning about machine learning applications.

Lead analytical initiatives in pricing strategy through statistical models, A/B testing, and data-driven insights to improve business outcomes.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

The Senior Staff Data Scientist will lead causal inference and experimentation standards, mentor teams, and enhance data-driven decision-making across the organization, focusing on mental health impact.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

As a Data Scientist, you'll develop, deploy, and evaluate machine learning models for digital products, collaborating across teams and driving data-informed decisions.

As a Senior Data Scientist at Remitly, you'll drive data-driven decision-making, mentor junior staff, and own complex analytical problems utilizing AI/ML techniques.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.