Data Scientist, Inventory Management - GoPuff

Job Title: Data Scientist, Inventory Management
Job Location: London, England
Job Listing URL: https://jobs.lever.co/gopuff/eb2b5f6e-f52f-48ba-a2b9-f95e66acf7c2
Job Description: 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:
Drive Business Efficiency: Analyse and enhance key metrics across customer acquisition, retention, and revenue generation. Your insights will directly influence how we improve processes, drive customer satisfaction, and optimise cost-efficiency.
Build Data Models for Strategic KPIs: Develop and maintain advanced data models using dbt to provide transparency and clarity into our core business performance metrics.
Deep Dive into Company Performance: Work closely with cross-functional teams to ensure our KPIs are aligned with overall business objectives, identifying areas for improvement and efficiency.
Collaborate Across the Business: Partner with teams across Category and Operations to ensure your data insights are not only clear but actionable for driving performance improvements.
Problem-Solve with Data: Tackle real-world challenges by using data to provide practical, strategic solutions that enhance how we operate and grow as a company.
Present Data Insights Effectively: Clearly communicate complex analyses and data insights to both technical and non-technical stakeholders, ensuring decisions are grounded in data.
You Have:
3+ Years in Data Analytics: Proven experience in a data-driven environment, ideally in a high-growth e-commerce or retail setting.
Expertise in SQL/Python : Advanced skills in SQL/Python for querying large datasets and developing complex reports.
Tools Mastery: Familiarity with BI tools such as Looker, Tableau, or Power BI, with a strong ability to translate data into strategic insights.
Problem-Solver: A passion for tackling business challenges, with the ability to identify issues and propose actionable, data-driven solutions.
Strong Communicator: Ability to present data insights clearly and persuasively to both technical and non-technical stakeholders.
Curiosity and Drive: A passion for problem-solving and the ability to thrive in a fast-paced, ambiguous environment. You’ll be excited to dive into our business performance data and uncover opportunities to drive growth.
Benefits:
Company RSU’s (Company Shares)
Private Medical + Dental cover
Annual performance appraisal and bonus
Employee Discount + FAM membership
Career growth opportunities