Top Senior Level Data Science Jobs in Seattle, WA

The Director of Data Science at Snap Inc will lead a team focused on improving customer engagement and ad performance through advanced data analysis, machine learning, and strategic insights. The role involves partnering with senior executives to solve complex business questions, manage projects, and deliver actionable recommendations.

Collaborate on product and business problems, apply technical expertise with quantitative analysis, develop strategies, define hypotheses, test opportunities, and shape product development using data.

The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.

The Senior Manager of Machine Learning will lead a team in developing machine learning and data science solutions for fraud prevention in financial services. Responsibilities include managing model performance, building team relationships, introducing new algorithms, and constantly improving models in response to trends.

The Principal Data Scientist role focuses on leveraging data from Magnify's customers to build predictive models for revenue expansion and churn. Responsibilities include improving model accuracy based on stakeholder input, providing thought leadership on data science and machine learning innovations, and collaborating with engineering to develop reliable data science infrastructure.

As a Senior Data Scientist at Smartsheet, you will leverage data analytics and machine learning to enhance product development and user experience. You will partner with Product, UX, and Engineering teams, conduct experiments, and present insights to drive data-driven decisions, while fostering a data culture within these teams.

As a Senior Data Scientist in Machine Learning at Lyft, you will develop mathematical models to enhance core services, optimize ride supply and demand, and collaborate with cross-functional teams to implement algorithms that improve user experiences for riders and drivers.