Operations Research Scientist
San Francisco Bay Area, CA
Instacart is building the best way for people anywhere in the world to shop for groceries. Since Instacart started in 2012, we’ve launched same-day delivery in 200 US markets. We are laser focused on delivering groceries from your favorite stores right to your door. We now cover over 60% of US households and aim to have 80% coverage by the end 2018—that's 90 million households! From a technology point of view, the platform is complex, rapidly scaling and processing millions of transactions in real-time all of the time. Our technology coupled with operational expertise enables Instacart to deliver fresh groceries in as little as an hour. This is a difficult problem to master and we are making it happen. Every day, we solve incredibly hard problems to create an experience for our customers that is absolutely magical.
Instacart is powered by data. We are creating the best way for people to shop for groceries by applying data, algorithms and machine learning to problems in logistics, retail, personalization, search and more. Our data science team is at the heart of this effort and our logistics engine is a critical factor in Instacart's success every day.
As a member of our small but growing data science logistics team, you will take on incredibly hard operations research problems and your work will impact the core of Instacart's business, ensuring that we meet our customers needs with a lean and efficient operation. Our team moves very fast, so you’ll have the opportunity to make an immediate difference.
- Bachelor's degree or higher in Operations Research, Applied Mathematics or a related field
- 4+ years of strong quantitative industry experience (2+ years with a PhD)
- Expertise in mathematical optimization and implementing tailored solution approaches
- Experience in data mining, predictive modeling and statistical analysis
- Writing production applications using Python, R, and SQL
- Superior analytical skills and a strong sense of ownership in your work
- Self-motivated drive to build, launch and iterate on products