Top Hybrid Data Science Jobs

Build full-stack data science solutions for finance: develop, test, and ship models; partner with data engineering and finance teams to create actionable financial insights; drive experimentation and analytics best practices; produce dashboards and reports to influence business decisions.

Senior IC for GTM analytics who builds and owns GTM data models, pipelines, and a semantic layer; runs deep analyses on funnel, conversion, forecasting, quota, and retention; partners with product data and engineering to ensure consistent data and operationalized metrics for non-technical stakeholders.

Partner with Product and Engineering to define product metrics, design experiments and causal analyses, build reporting and models, analyze user behavior and segments, and translate insights into product recommendations while establishing Product Data Science practices.

Lead growth-focused data science initiatives, owning LTV prediction models across countries and channels. Translate business questions into models, analyze large customer and marketing datasets, evaluate acquisition quality, monitor and productionise models with engineering partners, and drive data-informed growth and retention decisions.

Lead product-focused data science work: define and track metrics, design and analyze A/B tests, evaluate model and agent performance across conversations and workflows, perform root-cause analyses, build statistical models and dashboards, and partner with Engineering and ML teams to improve instrumentation and data quality.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

Support federal law enforcement by collecting, integrating, analyzing, modeling, and explaining large data to support investigations. Build ML models, perform statistical and graph analyses, create visualizations, communicate results to non-technical stakeholders, and contribute to R&D and shared capabilities while working on-site at government customer locations.

Lead development and deployment of predictive, risk-scoring, and optimization models for behavioral health using claims and clinical data. Define data science infrastructure, perform deep analytics, translate models into client-facing impact and dashboards, and lead cross-functional product and client engagements.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.