Top Hybrid Data Science Jobs

The Associate, Data Science will develop customer lifecycle models, design predictive models, analyze data for business solutions, and collaborate with various teams to implement models and optimize processes.

The Advanced Data Science Manager leads a team of data scientists, develops data science strategies, manages client projects, and drives business development while providing thought leadership and mentoring.

As an AI Data Analyst, you will leverage AI to transform data into insights, build analytics solutions, partner across teams, and drive product adoption for effective data utilization.

The Senior Data Scientist will develop and validate AML models, oversee implementation, ensure compliance with regulations, and collaborate with governance units.

As an AI Analyst Co-op, you'll harness technologies to generate insights, collaborate with teams for outreach efforts, and integrate market insights for go-to-market strategies.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with clients, integrate data, enhance ML algorithms, and drive product strategy for customer success in AI deployment.

The Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The role involves researching, designing, and implementing analytical methodologies for performance tools in mining operations, collaborating with cross-functional teams to enhance decision making through robust data analysis and frameworks.