Data Scientist, South BizOps
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Data Scientist (BizOps) The Business Operations Team at Wolt focuses on solving country- and region-specific marketplace challenges and is tasked with growing revenue and profitability. To do this, the team works to understand the underlying drivers of growth at the market level and identifies the best opportunities to have an impact. We take on a diverse set of challenging questions in the geospatial, logistics, and economics spaces, focused on helping balance Wolt's multi-sided marketplace across an ecosystem of courier partners, customers, and merchant partners to achieve our topline and bottomline plans. Our work sees us optimizing the experience of our customers, contributing to providing growing income opportunities for our courier partners and merchants, and driving growth, efficiency, and profitability for Wolt overall. We work with operations teams across 30 markets globally. Our core work covers customer retention, the economic efficiency of all our markets, and geospatial analysis - but our scope frequently expands to tackle issues beyond these topics. The role: In this role, you will work closely with the regional leadership team, partnering with our General Managers and heads of operations and marketing in multiple markets. This isn’t a normal Data Science role. You’ll combine strong technical skills and business acumen to partner with our regional leadership team. You will be the regional expert on connecting the dots across the business to help optimize our multi-sided marketplace. You will provide recommendations and consultation on business-critical issues through rigorous analysis paired with structured, big-picture thinking. Day-to-day activities: - Running data-driven research to uncover new insights and opportunities to help drive growth in the regions and fast track our operational strategy on a daily and weekly basis. - Working with Country GMs and Heads of Marketing and Operations to size and prioritize initiatives. - Some traveling to the local markets is expected. About you: You’re not the typical Data Scientist. You have a passion for understanding the details behind the numbers and finding opportunities that really help the business hit its goals rather than building perfect models. You understand how to balance rigor with speed and can help your business stakeholders navigate those tradeoffs as well. - 3-5 years of experience in data analytics, consulting, or a related quantitative role. - Ability to delve into ambiguous problems for “treasure-hunting” with data and find creative new ways to think about our business. - Determination to initiate and lead/own strategic projects to completion in a scrappy environment with a cross-functional team. - Innate curiosity to understand how things work and a first-principles approach to problem-solving. - Proficiency in at least one programming language, preferably Python. - Ability to support & influence senior leadership in making critical decisions. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.