Top Data Science Jobs

The Staff Data Scientist at Coupang Ads will develop monetization strategies, analyze KPIs, manage A/B testing, and deliver actionable insights to maximize revenue and improve product performance.

Lead the commercial data science function, delivering analytics solutions to biopharma clients, building analytics infrastructure, and improving data solutions.

The Senior Data Scientist will analyze data to improve student outcomes, partner with product teams, and develop self-service analytics tools.

As Lead Data Scientist, you will drive technical strategy for machine learning, NLP, and LLM initiatives, leading teams to develop and deploy production-grade AI systems.

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

As a Senior Data Scientist, you'll partner with teams to build data-powered tools, optimize performance metrics, and champion data adoption across departments.

As a Senior Data Scientist, you'll lead machine learning and data analysis tasks, collaborate with customers, automate workflows, and support critical operations for the Department of Justice.

The Senior Data Scientist will develop predictive models, integrate diverse data, assess data quality, and communicate insights on USMC C130 supply chain data.

As a Senior Data Scientist on the Experimentation Platform team, you'll lead statistical analyses, A/B testing, and collaborate across teams to drive data-informed decisions, enhancing product performance and growth.

As a Senior Data Scientist, you will drive improvements in recommendations through collaboration with teams, strengthen algorithms, lead experimentation, and mentor others in analytics.

The Senior Data Scientist will develop business analytics functions, manage data projects, conduct statistical analysis, and collaborate with stakeholders on predictive models and insights.

The Senior Data Scientist at Known will develop tools for media campaigns, mentor colleagues, and create predictive models while collaborating with various teams.

The Senior Data Scientist will develop and implement ML models for financial data, translating business challenges into data science problems and owning the entire model lifecycle.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

As a Staff Data Scientist, you will design and interpret experiments, mentor others, and communicate findings to influence product development and marketing strategies.

The Data Scientist will drive the entire data lifecycle from acquisition to modelling and reporting, delivering insights and technical support, and communicating results to stakeholders.

The Manager of Data Science will lead a team to provide insights through data science, manage projects, and ensure analytics practices meet client goals.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

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 analyze claims data, develop predictive models, and work with unstructured data using R and Python in a financial services context.

The role requires expertise in data science, SQL, and big data analytics, focusing on business insights and KPI development.