Top Remote Senior Level Data Science Jobs in Seattle, WA

The Senior Data Scientist will lead data science projects, mentor junior staff, and translate business challenges into machine learning solutions, influencing business strategy through data insights.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

As a Sr. BI Analyst, you'll analyze data for business solutions, develop BI reports and dashboards, and collaborate with teams to ensure data accuracy and effectiveness in delivering insights.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

Lead a team of Data Scientists and Analytics Engineers at Netflix to enhance game development through data science and machine learning.

As a Senior Data Scientist at TRM Labs, you will lead the development of machine learning models for detecting cryptocurrency fraud, collaborating with cross-functional teams to analyze blockchain data and communicate insights effectively.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.