At Shipt, we are transforming the grocery shopping experience and giving time back to consumers. Our friendly shoppers handpick fresh groceries and household essentials, then deliver them to your door in as little as one hour.

Shipt is growing and we are searching for a Data Scientist, Ops Research to join our team! In this role, you'll help build the next generation of processes and algorithms to optimize our fulfillment capability.

The data science team builds data driven solutions using machine learning and operations research techniques. Our solutions include predictive models, complex reporting, and quantitative research. Our ideal candidate will be data-driven, intellectually curious, and a clear communicator with experience building machine learning models.

WHAT YOU'LL GAIN

You will get experience working with a cross-disciplinary team shipping real-world products to our customers around the nation. You will also receive hands-on mentorship from your friendly teammates on topics ranging from design to career advice

YOUR RESPONSIBILITIES

• Gain a deep understanding of Shipt's operational problems and the data available / required to solve them.
• Curate operational datasets that act as the source of truth for business critical analytics and operational algorithms.
• Apply modeling, optimization, forecasting, simulation techniques to complex multi-sided marketplace problems with quickly-changing dynamics. 
• Collaborate with external teams to build dashboards and self-service tools to empower people to use data to make decisions. 
• Help increase the speed and confidence at which Shipt can make and execute on data-driven decisions through clear and concise technical communication.

REQUIREMENTS

• At least 2 years of experience with machine learning, predictive modeling, and/or optimization techniques.
• Demonstrated high degree of proficiency in Python.
• Demonstrated high degree of proficiency with SQL.
• Experience with a data visualization tool (Tableau, Chartio, Looker, Spotfire, Power BI, etc).
• Comfortable giving verbal presentations and communicating with technologies like Zoom and Slack.

NICE TO HAVES

• Experience with cloud computing platforms like AWS, GCP, or Azure. 
• Experience with software engineering practices and technologies like system design, unit testing, and version control. 
• Familiarity with on-demand and multi-sided marketplaces.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

_Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records _