Top Hybrid Data Science Jobs

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

The Senior Data Scientist will lead analytic engagements, develop predictive models, and collaborate with teams to enhance client solutions in financial services.

The Data Science Intern will build predictive models, analyze customer data, and design AI-driven frameworks to improve customer health and retention. This role focuses on hands-on projects involving complex datasets and insights generation.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

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.