Senior Data Scientist (Biotech)
At Shipt, we are transforming the shopping experience and giving time back to consumers. Shipt Shoppers handpick everything from fresh groceries to household essentials, then deliver them to your door in as little as one hour.
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 and evaluates AI powered customer facing systems that optimize the customer shopping experience. Our ideal candidate will be able to apply rigorous statistical techniques to evaluate the impact of new and existing systems as well as assist in identifying new opportunities for development.
Provide analytics insights and recommendations relating to the customer shopping experience to drive increased revenue, retention, and profitability.
Evaluate the effect of changes to the marketplace app using techniques such as A/B tests, quasi experiments, and causal impact analysis.
Collaborate with other members of the Data Science team on ways to approach problems, audit code, and share new techniques
Work closely with functional team leaders (Machine Learning, Product, User Research, Marketing, etc.) to explain your findings, support reproducibility, and understand feature impact
Stay abreast of developments in the field and contribute to its advancement
5+ years of experience with statistical inference, experimentation, and predictive modeling in an operational setting
Strong eye for detail
Proficiency with SQL
High degree of proficiency with one of Python or R
Bachelor's Degree in a quantitative field
Ability to communicate results to diverse stakeholders
Prior experience evaluating search and recommender systems for e-commerce
Experience with interleaved tests
Experience with attribution models
Knowledge of game theory and mechanism design
Published statistical research
Familiarity with on-demand and/or multi-sided marketplaces
Graduate degree in a quantitative field
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.