Senior Data Scientist II – Core Delivery

🕒 June 2

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Logo of Instacart

Instacart

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

eCommerce • Transport • Retail

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• 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.

🎯 Requirements

• 7+ years of experience working in a data science or ML role at a product company • Ability to run rigorous experiments and generate scientifically sound recommendations • Strong SQL skills for data extraction and transformation from relational databases • Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent • Ability to translate business needs into analytical frameworks. • Experience with geospatial analysis techniques. • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

🏖️ Benefits

• remote work • candidates may be eligible for a new hire equity grant as well as annual refresh grants

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