Top Hybrid Data Analysis Jobs

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

The Senior Data Scientist will develop predictive models for mortgage loss forecasting, perform portfolio analytics, and collaborate across various departments to enhance home lending risk analytics.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Develop and validate motorsports performance metrics and analysis methods using math, physics, vehicle dynamics, and data science. Prototype and test solutions against track data, collaborate with GM Software and Performance Engineers, and implement tools into the production analysis toolchain to improve on-track performance.

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.

Lead development and implementation of models for financial risk management, provide analysis for new products, and ensure model performance monitoring.

As a Quantitative Researcher, you will design, test, and deploy quantitative models, collaborate with traders, and enhance existing trading strategies to improve profitability.

The Analyst IV is responsible for delivering POS and Payments technology solutions, managing system integration, and ensuring operational excellence. They collaborate with stakeholders to translate business needs into effective technical solutions while mentoring junior team members.

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.