About the Job
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart’s leadership.
Minimum Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Ability to write complex, efficient, and eloquent SQL queries to extract data.
- Ability to write efficient and eloquent code in Python or R.
- Ability to translate business needs into analytical frameworks.
- Desire to build and improve consumer software products.
- Eagerness to learn, flexibility to pivot, and growth mindset.
Preferred Qualifications
- Awareness of business trade-offs in a multi-sided marketplace.
- Confidence collaborating with and influencing cross-functional stakeholders.
- MS/PhD in Statistics, Economics, Applied Mathematics, or related field.
Currently Open Roles
Fraud: Covers shopper/customer fraud, abuse, identity; partners with Operations, Product, ML.
Caper: Tackles computer vision, machine learning, data science for smart-cart accuracy.
Marketing: Builds attribution models, predictive algorithms for paid channels (Google Ads, Meta).
Payments: Optimizes payment platform costs, experience, partnerships.
Ecosystem: High-impact analytics for growth strategy with senior leadership.
Shopping Marketplace: ML in item ranking, uplift models, dashboards.