Top Hybrid Data Science Jobs

Lead and hands-on manage a product Data Science team focused on app experience and data marketplace. Drive AI-native deliverables (agentic services, semantic views), validate AI/ML and LLM outputs, build POCs, mentor teammates on DS and governed generative AI usage, partner with product and engineering stakeholders, and grow team impact and hiring.

Develop and maintain sustainability methodologies that translate climate science, GHG accounting standards, and regulatory requirements into auditable product logic. Collaborate with engineers, data scientists, product managers, customers, auditors, and stakeholders; review code, write technical specifications, contribute to implementations and testing, investigate complex sustainability data questions, and document scientific decisions. The role applies sustainability expertise to real-world business data and product capabilities.

Analyze and integrate single-cell and spatial multi-omics data; develop scalable, reproducible pipelines, statistical models, AI-assisted research tools, open-source software, and biomedical data resources. Collaborate with experimental labs, provide computational biology guidance and training, create workshops and documentation, and support methodological development, follow-up experiments, and scientific data interpretation.

Collects, cleans, transforms, explores, and statistically analyzes clinical, financial, and operational data. Builds visualizations and dashboards using tools such as Power BI and Tableau, communicates findings and recommendations to stakeholders, and collaborates with domain experts to evaluate program effectiveness. The role requires healthcare or pharmacy experience, SQL programming, strong analytical skills, attention to detail, and compliance with data privacy regulations such as HIPAA.

The Senior Data Scientist will develop, validate, and operationalize AI models for diagnosing complex diseases, enhance data analysis processes, and establish MLOps infrastructure while leading data-driven initiatives.

As a Senior Data Scientist at Haystack News, you will utilize statistical analysis and machine learning to enhance user engagement and retention, impacting product success.

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

Deploy machine learning solutions for enterprise Oil & Gas customers, benchmarking against existing models and delivering measurable ROI. Responsibilities include data engineering, feature engineering, validation, model optimization, data leakage prevention, and secure last-mile integrations across cloud, on-premises, and air-gapped environments. The role partners with customers, sales, research, product, and solution architecture teams while translating technical insights into business value and product roadmap priorities.