At Gopuff, we’re not just delivering convenience—we’re redefining how the world shops. Since pioneering instant needs in 2013, we’ve empowered millions of customers across the U.S. and U.K. to reclaim their time through seamless, fast, and reliable delivery. Behind this transformative journey is our tech-first mindset, relentless obsession with customer experience and operational excellence.
We’re looking for an exceptional Data Scientist to shape the future of quick commerce.
This is not just a job—it’s a mission. As a Data Scientist in the Category Development team, you will support the rapid growth of our business by analysing our huge datasets to uncover insights that drive improvements across our category & supply chain performance.
You’ll partner with cross-functional teams, challenge the status quo and make high-impact recommendations. With your mastery of SQL, Python and advanced analytics, you won’t just support decisions—you’ll lead them.
We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success, ensuring data is a tool for empowerment, not gatekeeping. No room for arrogance—just a commitment to helping others and making an impact together.
If you’re a high-performer who thrives in fast-paced, high-impact environments, this is your chance to build, innovate, and leave a lasting mark on one of the most disruptive industries in the world.
Are you ready to shape the future of commerce? Let’s go.
You Will:
- In collaboration with Category and In-Stock Management teams, work on our Stock Ordering Tool and Compliance Improvements (infrastructure development and buying policies).
- In collaboration with the wider Data Team and Community, work on measuring and reporting availability levels and their influence on revenue and order volume within Gopuff.
- Provide clear insight into the value and success of different buying policies we have built into our Stock Ordering Tool to ensure we are hitting the target levels of Expirations and Availability.
- Set dynamic targets for Availability and Expirations for each Subcategory.
- Design and measure experiments in Stock Ordering Tool buying policies.
- Perform deep dives and post-implementation reviews to analyse problems, identify opportunities and suggest experiments for the future within the scope of Availability and Expirations Reporting.
You Have:
- Bachelor's Degree in Business, Mathematics, Statistics, Data Science or other quantitative discipline.
- 2+ years of experience in analytics or data science - preferably in fields related to grocery, operations, marketing or consumer products.
- Strong experience in SQL and databases, with an ability to write structured and efficient queries on large data sets.
- Proficiency with dbt, Python or R is a strong plus.
- Experience with Supply Chain Analytics is a strong plus.
- Development experience with BI platforms such as Looker, Tableau, Power BI.
- An understanding of statistical analysis and experiment design.
Benefits:
- Company RSU’s (Company Shares)
- Private Medical + Dental cover
- Annual performance appraisal and bonus
- Employee Discount + FAM membership
- Career growth opportunities
Company Summary & EEOC Statement:
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
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