Job specializations:
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
On the Fulfillment Data Science team, you will address marketplace questions involving speed, reliability, cost, and customer experience. You will partner with Product, Engineering, and Operations while working with machine learning models and rich data. Your recommendations will influence roadmaps and leadership decisions.
Key Responsibilities:
Shape how customers choose delivery and pickup options
Own speed and service option experimentation across marketplaces
Design and analyze rigorous two-sided marketplace experiments
Measure tradeoffs affecting speed, reliability, cost, and experience
Build metrics, automation tools, and analytical frameworks
Requirements:
Five-plus years in a quantitative product or research role
Complex, efficient SQL and Python or R coding skills
Experience owning ambiguous cross-functional problems end to end
Ability to design scientifically sound experiments
Ability to translate business needs into analytical frameworks
Bring experimentation, SQL, Python or R, and marketplace analytics expertise to Instacart's fulfillment data science team.
Position Requirements
10+ Years work experienceTo View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
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(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).