Top Hybrid Data Science Jobs

Lead tailored analytics strategies for marketing, manage the analytics team, innovate data standards, and communicate findings to senior stakeholders.

Lead development and productionization of marketing mix and channel-attribution models, build predictive models for acquisition and retention, collaborate with stakeholders and vendors to source data, provide actionable insights to influence marketing strategy, and present findings to senior leaders.

The Data Scientist will analyze data, build predictive models, and collaborate with teams to deploy data products, driving business outcomes.

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.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

The Staff Data Scientist will lead data science projects, prioritize analyses, develop metrics, and work cross-functionally to inform business decisions. Responsibilities include rigorous analysis, stakeholder communication, and developing measurement plans for initiatives.

As a Data Scientist, you'll develop machine learning models, analyze chatbot data, communicate insights, and guide junior team members.

The Data Scientist will develop agent-based workflows and AI features for CAS products, emphasizing software development and collaboration with teams.

As a Data Scientist I, you will develop machine learning models for personalization and marketing, collaborate with teams, and enhance user experiences at Poshmark.

As a Data Science Intern, you will support machine learning model development, analyze data, and assist in building forecasting models while collaborating with various teams.