Top Hybrid Data Science Jobs

Lead data science across autonomy, safety, and product by analyzing machine telemetry and operational data, defining metrics, designing experiments, and partnering with ML platform and engineering to deliver insights that improve system performance and safety.

Drive high-impact, customer-facing data science for top advertisers: advise on campaign strategy, translate account insights into product signals, build global activation frameworks, define experiments, and scale GDS playbooks across regions to influence product roadmap and advertiser outcomes.

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.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

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

Build and maintain Python-based data pipelines and research databases, source and integrate datasets, perform exploratory and statistical analysis, support quantitative researchers with scalable tooling and infrastructure for systematic trading and options research.

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.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

Lead design of analytical models, metrics, and schemas that power an AI marketing orchestration layer. Translate marketer intuition into rigorous, production-ready metric models, partner with data engineering and AI teams to build pipelines and agent skills, and ensure metric accuracy for decisioning across paid and owned channels.

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.