Instacart
Senior Data Scientist II - Core Delivery
datafull-timeCanada - Remote (ON, AB, BC, or NS Only)
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role
Overview
The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you’ll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You’ll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.
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.
About You
Minimum Qualifications
- 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.
Preferred Qualifications
- Experience with geospatial analysis techniques.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
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