Shipt, Inc.
Senior Data Scientist (Recommendations) (Project Management)
At Shipt, we work at the intersection of a multi-sided marketplace and we're looking for help understanding our data, optimizing existing processes, and making predictions to improve the product and experience.
Our team develops customer facing machine learning models that enable product recommendations and targeted promotions. Our ideal candidate will be able to develop and apply core algorithms that strengthen Shipt's marketplace and advance the industry state of the art.
Responsibilities:
Develop a thorough understanding of all personalization algorithms and evaluate them as they relate to member behavior, recommendations, sponsored items, and profitability
Work through all phases of development including problem formulation, data understanding, model prototyping, evaluation, deployment and maintenance
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 (Product, User Research, Marketing, etc.) 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
Minimum Qualifications:
5+ years of experience with machine learning
Hands-on industry experience building large scale personalized recommendation systems
Comfortable with a database query language (SQL, BigQuery, etc.)
High degree of proficiency with Python and PySpark
Expertise in PyTorch, Tensorflow, or similar deep learning libraries
Master's Degree in Computer Science, Statistics, or a related STEM field
Comfortable writing and debugging production code
Ability to communicate results with non-technical stakeholders
Pluses:
Prior industry experience with recommender systems for E-commerce specifically
Experience deploying machine learning models to production
Published machine learning research in KDD, RecSys, SIGIR, or a similar conference
Previous experience with Multi-Armed Bandits and/or Deep Reinforcement Learning
Familiarity with on-demand and/or multi-sided marketplaces
Experience with distributed deep learning across (multiple GPUs)
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.