Top Hybrid Data Analysis Jobs

Analyze customer and merchandising data, build data pipelines and reports, write clean queries and code, conduct statistical analyses to identify trends and opportunities, and validate key metrics to inform business decisions.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Lead development of Navan's internal economic models, build probabilistic forecasts, run causal inference experiments (A/B, quasi-experimental), create pricing and retention frameworks, deploy production-quality Python models into AWS/Snowflake, and advise executives on economic strategy and risk.

The Sr. Pricing Manager will analyze pricing strategies, lead automation initiatives, collaborate cross-functionally, and design pricing tests to enhance value for Chewy's Pricing Team.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

Lead and advance Ibotta's measurement and causal inference efforts: design experiments, diagnose measurement anomalies, drive enterprise data-science initiatives, set technical standards, mentor staff, and present results to executives to quantify marketing impact.

As a Senior Quantitative Researcher, you will enhance pricing models and algorithms using advanced statistical and machine learning techniques in the fixed income market sector.