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Top Hybrid Data Science Jobs
Healthtech
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.
Top Skills:
AirflowBigQueryDatabricksDbtLookerModePythonSnowflakeSQLStatsigTableau
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
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.
Top Skills:
DashboardsData PipelinesPythonSensor DataTime-Series Data
Fintech • Information Technology • Internet of Things • Software
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.
Top Skills:
AIClassification ProblemsData SystemsEntity ResolutionGraph-Based ApproachesMachine Learning
Fintech • Software • Financial Services
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.
Top Skills:
ArcgisEsriExcelMachine LearningNatural Language ProcessingPower BITableau
Fintech • Software • Financial Services
As a Senior Data Scientist, you will shape product development using data, define success metrics, and validate hypotheses through advanced analytical techniques.
Top Skills:
PythonSQL
Marketing Tech
The Staff Data Scientist will lead data science projects, build ML models, develop AI solutions, and mentor junior staff while integrating data-driven insights into business operations.
Top Skills:
AWSAzureDaskGCPNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorFlow
Hardware • Internet of Things • Logistics • Software • Big Data Analytics
Own end-to-end data science and ML features for logistics: problem framing, modeling, production deployment, monitoring, and cross-functional delivery. Focus areas include theft detection, routing intelligence, anomaly detection, and customer-facing alerting using geospatial and IoT sensor data.
Top Skills:
AWSDbtGeospatialLlmsMachine LearningPythonSnowflakeSQL
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