Top Hybrid Data Science Jobs

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Data Scientist - Risk role involves developing key risk indicators and metrics, automating risk monitoring, and collaborating with cross-functional teams to analyze product risk.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

The Staff Data Scientist leads data strategy in Home Lending Sales, developing predictive models, ensuring data integrity, and mentoring team members to enhance business efficiency and customer retention.

As a Fraud Analytics Intern, you will work on fraud mitigation projects, create dashboards, analyze datasets, and collaborate with a team to enhance fraud analytics efforts.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.

The Lead Analyst will shape data-driven talent decisions by conducting predictive analyses, developing dashboards, and mentoring other analysts, impacting workforce strategies across the organization.

As a Principal Data Scientist, you'll leverage machine learning to derive insights from data, collaborate with teams, and enhance payment processes.

The Data Scientist will partner with cross-functional teams to develop personalized recommendation systems, leverage advanced modeling techniques, and analyze large datasets.

As a Principal Associate, Data Scientist, you will lead fraud detection strategies using machine learning and collaborate with cross-functional teams to enhance fraud models and deliver innovative solutions.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.