Job details
Job type full-time
Full job description
At shipt, we are transforming the grocery shopping experience and giving time back to consumersShipt shoppers handpick fresh groceries and household essentials, then deliver them to your door in as little as one hour.
Shipt is building an on-demand delivery platform to help people get the things they need from stores they loveSince the beginning, we`ve relied on data to drive decision-making and power our fulfillment systemIn this role, you`ll help build the next generation of processes and algorithms to drive our platform to new heights.
You will be building systems that leverage cutting-edge technology and advanced mathematics to build best-in-class models to optimize and improve our core offering and bundlingOur platform is a multi-sided marketplace where retailers, manufacturers, customers, and shoppers work together to achieve outcomes through coordination and orchestration by a series of systems and models that ensure their success and form our core advantage.
We are seeking candidates who are excited about wearing multiple hats and working cross-functionally with engineering and product to bring real solutions to market, iterating from imperfect mvp through rapid experimentation and developmentThis position is heavy on analytical tasks, ranging from providing time-sensitive ad-hoc research, creating dashboards, crafting complex database queries/etl pipelines, developing predictive models, and turning data insights into action.
Responsibilities
Develop a deep understanding of shipt`s business model and leverage your experience to align our problems with industry best solutions.
Create modeling-based dashboards and data visualizations to communicate meaningful metrics to members of the business.
Build etl data pipelines for dashboard automation.
Aid in model development to understand how we decide to group orders to our shoppers, such as the difficulty of a specific order or the challenge level of an apartment delivery in a particular neighborhood.
Requirements
2+ years of experience with data science analytics and turning data into insights.
General understanding of machine learning, economic, or statistical modeling.
Strong sql skills (postgres, snowflake)
Proficiency with one high-level language, such as python or r.
Strong expertise in building dashboards
Bachelor`s degree in a quantitative field.
Nice-to-haves
Familiarity with cloud computing platforms like aws, gcp, or azure.
Familiarity with software engineering practices such as unit testing, and version control.
Familiarity with on-demand and multi-sided marketplaces.
Familiarity with combinatorial optimization
Familiarity with streamlit, r shiny, or tableau dashboarding
A master`s or ph.dWith relevant applied research is a plus and would be considered as part of years of experience.
The role can be 100% remote#li-remote
We are an equal opportunity employer and value diversity at our companyWe 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.
