This job listing has expired and the position may no longer be open for hire.

Sr. Manager, Data Science at Shipt, Inc.

Posted in Science 30+ days ago.

Type: Full-Time
Location: San Francisco, California





Job Description:

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

Job Description

At Shipt, we’re using machine learning (ML) and analytics to drive our business forward. We’re looking for help understanding our data, optimizing our processes, and making predictions to improve our product and customer experience.

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

Responsibilities


  • Develop a thorough understanding of our data and interpret them as they relate to shopper behavior, search performance, profitability, and product development


  • Build predictive models and optimization routines to capture opportunities and solve problems. Applications include modeling demand in a given market, delivering search recommendations, and optimizing internal processes


  • Collaborate with other members of the Data Science and engineering teams on ways to approach problems, augment code, and share new techniques


  • Work with functional team leaders (in Product, Operations, Marketing, etc.) to explain your analysis, findings, and recommendations


  • Find opportunities for improvement across the business and assist in decision-making across teams


Requirements


  • 5+ years of experience with machine learning, predictive modeling, and/or optimization techniques


  • High degree of proficiency with one of R or Python


  • Proficiency with SQL


  • Experience with a data visualization tool (Tableau, Chartio, Looker, Spotfire, Power BI, etc.)


  • Experience with cloud computing services or platforms


  • Comfortable giving verbal presentations and communicating with technologies like Zoom and Slack


  • Bachelor’s degree in a quantitative field or related experience


Nice To Haves 


  • Experience deploying predictive models in a cloud environment


  • Experience with batch processing frameworks 


  • Familiarity with AWS, version control, and peer code review systems


  • Familiarity with on-demand and/or multi-sided marketplaces


  • Proficiency in both R and Python


This position can be 100% remote. #LI-Remote

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.





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