Posted in Science 30+ days ago.
Type: Full-Time
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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