Top Data Science Jobs in Seattle, WA

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

The Staff Data Scientist will develop and deploy machine learning solutions for healthcare applications, working with complex datasets and collaborating with cross-functional teams.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

As an AI-Native Data Scientist, you will design AI solutions, develop predictive models, and build data products to enhance consumer understanding and industry performance.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Senior Data Scientist at AKASA, you will analyze deep product data, focusing on improving GenAI products in healthcare revenue cycle management, evaluating performance, and guiding product strategy using statistical methods.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

The role requires a Data Scientist with strong SQL and analytics experience to analyze business data and provide insights using BI tools and Cosmos.

The Data Scientist will develop solutions using SAS, R, and TSQL, with expertise in SSIS, ETL, and statistical analysis, while also having knowledge of MS tools.

The Data Scientist will create and improve algorithms for determining driver pay, analyze data, and support operations with a focus on machine learning and optimization.