Top Hybrid Data Science Jobs

The role involves building the marketing data science function, developing metrics, dashboards, and models to analyze marketing effectiveness, and fostering a data-informed culture.

Drive disease modeling using statistical, epidemiological, and machine learning techniques. Collaborate with engineering and product teams on data-driven healthcare solutions.

The Product Data Scientist will analyze complex datasets, build dashboards, design A/B tests, and communicate actionable insights to drive product and business growth.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

The role involves leveraging data science and AI to generate business insights, develop predictive models, and mentor team members. Responsibilities include project management, deploying ML pipelines, and enhancing client solutions.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

The Senior Data Scientist will define opportunities, harvest data for machine learning models, lead project designs, collaborate across teams, and communicate insights effectively.

Lead the Data Science team to execute complex technical initiatives, manage model development, and define strategic priorities for growth. Collaborate with cross-functional teams and maintain high standards in model validation and product delivery.

As the first Data Scientist, you will build Luma's data science infrastructure, define key metrics, and support product and growth initiatives through data-driven insights.