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Tech Stack
Tools & technologiesCloudPandasPythonSQLTensorflow
About the role
Key responsibilities & impact- Contribute to core services and products
- Apply economic and statistical models to large-scale data to derive insights and actionable recommendations across a wide range of applications in fields such as insurance, healthcare, and e-commerce
- Work alongside data scientists, other economists, and software engineers to solve technical and quantitative challenges, ensuring our solutions produce value for our clients
- Apply both qualitative and quantitative economic analysis to the historical and proposed business decisions of clients across diverse industries
Requirements
What you’ll need- A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields from a leading university
- In-depth understanding of mathematical and statistical concepts behind the most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
- Experience in coding and working with data using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM)
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
- Business proficiency in English
- Bonus if skilled in any of the following tools and/or languages: SQL, Tensorflow, Git, Cloud infrastructure
Benefits
Comp & perks- Generous compensation package including base salary, bonus, stock options, and relocation support
- Additional location-based benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
economic analysisstatistical modelsmachine learningcausal inferenceA/B testingdata analysisPythonPandasXGBoostLightGBM
Soft Skills
problem-solvingcommitmentreliabilitypragmatismperfectionismopportunity identificationcommunication
