Top Hybrid Data Science Jobs

Lead development of time-series and econometric models (ARIMA, VAR, state-space, WLS, panel data) and Bayesian probabilistic frameworks. Use causal inference and stochastic processes to produce actionable insights, work with large datasets on Databricks, communicate results to stakeholders, and mentor junior team members.

Apply statistical and machine learning methods to workforce data to generate insights for talent, retention, and workforce planning. Build predictive models, dashboards, automated reporting, and support HCM implementations while ensuring data governance, privacy, and ethical use of employee data. Partner with HR, Finance, IT, and business leaders to translate analyses into actionable recommendations.

Design and lead the data science architecture covering ingestion, storage, processing, ML model lifecycle, deployment, governance, security, and performance. Collaborate with cross-functional teams, evaluate technologies, mentor engineers and data scientists, and oversee implementation and monitoring of large-scale data science solutions.

Lead advanced data analysis and modeling efforts to solve business problems. Develops complex statistical models and algorithms, ensures data quality, identifies new data sources, and partners with leadership to implement model results into operations. Presents findings and recommendations to technical and executive audiences and mentors junior staff.

Partner with IT, Operations, and Engineering to design, build, and deploy data pipelines and analytics for Quality processes. Lead technical projects, translate business requirements into production-ready data solutions, perform data cleaning, modeling, exploratory analysis, and validate statistical and machine learning models; support visualization and training for new digital solutions.

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

Lead the data strategy and analytics for Hinge Health's treatment experiences and hybrid care offering. Manage a team of Data Scientists, oversee data quality, and develop experimentation frameworks.

Design and implement quantitative behavior metrics for autonomous vehicles, build and maintain data pipelines and dashboards, analyze large-scale vehicle logs and simulation data to identify regressions, set metric thresholds to support geofence expansion, and communicate findings to technical and non-technical stakeholders.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

The Senior Director, Data Scientist will lead data science projects, manage data pipelines, implement data strategies, and mentor teams while influencing business strategy with data insights.