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.
The Core Search team at Shipt is looking for a data scientist to help build the next generation of our e-commerce search engine. Our team creates internal analytical tools as well as customer facing machine learning models that enable product search and discovery. Our ideal candidate will be able to develop critical insights into our search engine data and make strategic recommendations on key opportunities, as well as grow out their skillset in the modeling space.
We’re seeking a strong data scientist candidate that is comfortable pulling and aggregating data from multiple large sources, building out reporting capabilities, defining KPIs, conducting A/B tests, and is interested in natural language processing and/or search engines.
This role can be located 100% remote, or in one of our offices located in San Francisco or Birmingham.
Create actionable insights and dashboards out of large data sources to drive strategic direction
Measure impact from A/B tests on new search engine algorithms
Develop deep expertise and knowledge around Shipt’s data sources
Collaborate with other members of the Data Science and Data Engineering teams on ways to approach problems, audit code, and share new techniques
Work closely with functional team leaders to explain your findings and support reproducibility
Develop systems and techniques for model evaluation in both offline and online settings
Stay up to date on developments in industry and academia and contribute to its advancement
2+ years of industry experience in analytics, business intelligence, and/or statistical modeling
Hands-on experience manipulating databases with millions to billions of records
Comfortable with a database query language (SQL, BigQuery, SnowFlake, etc.)
Ability to write code in Python
Strong in both technical and business acumen
Experience with a data visualization tool (Tableau, Chartio, D3, Spotfire, Power BI, etc.)
Ability to communicate results with non-technical stakeholders
Prior industry experience with product search engines for E-commerce
Master’s in Analytics, Data Science, Statistics, or other related STEM degree
Experience or working knowledge of machine learning fundamentals
Experience deploying machine learning models to production
Familiarity with on-demand and/or 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.