Top Data Science Jobs in Seattle, WA
As a Senior Data Scientist at Lyft, you will develop mathematical models and algorithms for optimizing fulfillment in ridesharing. You will collaborate with cross-functional teams, perform data analysis, build machine learning models, and communicate findings to enhance ride-matching algorithms and improve user experiences.
The Data Science Manager will lead a team of data scientists to provide insights that drive growth and enhance the user experience. Responsibilities include managing team performance, developing actionable plans from business challenges, and communicating analytical findings to stakeholders. Emphasis on collaboration and innovation is key.
The role involves supporting program management and performing data analysis for the Department of Commerce, including data mapping and ETL activities. The successful candidate will identify data issues and assist in developing solutions while supporting routine data management processes and providing assistance to project teams.
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
The Senior Scientist in Bioinformatics will develop and run computational pipelines for analyzing genomic and transcriptomic data, focusing on immune-related genes. Responsibilities include method development, benchmarking genotyping methods, data processing and analysis, maintaining bioinformatics workflows on AWS, and collaborating with software engineers to enhance data analysis capabilities.
As a Senior Data Scientist in Product Analytics at a leading fintech company, you will leverage data and analytics to drive informed decision-making and innovation in brokerage products. You will work on large analysis projects, develop machine learning models, design experiments, create data visualizations, and mentor team members.
The Sr. Data Scientist will leverage analytics and machine learning to inform product development, optimize user experiences, and drive key performance metrics. Responsibilities include conducting experiments, analyzing customer usage, developing reporting, and presenting findings to influence data-driven decisions.
The Operations Analyst will support the Revenue Cycle Management team by analyzing business operations, tracking metrics, and delivering reports. Responsibilities include monitoring client profitability, managing expenses, developing dashboards, and conducting executive reporting, requiring strong communication and analytical skills.
As a Data Scientist/Senior Data Scientist at Wisetack, you will drive data-driven decision-making in areas such as credit risk and fraud. Responsibilities include designing and deploying predictive models, conducting analyses, and collaborating with teams to integrate solutions into products, ultimately aiming to enhance consumer lending products.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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