Top Hybrid Data Science Jobs

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

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.

As a Data Scientist Intern, you'll analyze large datasets to enhance user experiences, develop ML models, and design A/B tests while collaborating across teams.

As a Data Scientist, you will lead complex analyses, develop expertise in marketing mix modeling, coach teams, and contribute to software code and automation in ML workflows.

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.

As a Senior Data Engineer, you will develop data pipelines, dashboards, and reports while collaborating with analytics teams and promoting self-service analytics.

The Advanced Data Scientist will build and deploy AI/ML models, recommend innovative data solutions, and define analytics strategies for Honeywell's Forge platform, collaborating with data scientists and engineers.