Senior Applied Scientist, Merchant Experience

Job title:

Senior Applied Scientist, Merchant Experience

Company

Wolt

Job description

Company DescriptionWolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.Working in Product Development at WoltAt Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.Our Commitment to Diversity, Equity & InclusionWe want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.Join us today to build Wolt together.Job DescriptionOur Applied Scientists at Wolt design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges. By leveraging advanced techniques like statistical analysis, machine learning, deep learning, and operations research, they enhance key processes across Wolt’s platform and business operations, creating measurable impact in all 28 countries where we operate.As an Applied Scientist, you’ll take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production. We work with a range of technologies, including Python, SQL, Snowflake, Flyte, MLflow, and Seldon Core, and always strive to optimize our workflows to support rapid experimentation and innovation.We’re seeking an Applied Scientist to join our cross-functional Merchant Experience team within the Merchant Group. In close collaboration with software engineers, product managers, designers, and analysts, you’ll develop algorithms and data-driven solutions that empower our merchants with actionable insights. You’ll build machine learning models that deliver personalized recommendations for operational improvements and strategic product adoption, driving direct sales growth and enabling merchants to discover new opportunities and enhance performance.This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm. Read more about our hybrid and remote setup .QualificationsWe’re looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Here’s what we hope you bring:Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.Expertise in Production-Ready ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.Strong Foundations in ML, Statistics, and Causal Inference: You bring a solid educational background and practical skills in machine learning, statistics, and causality, enabling you to design reliable and meaningful solutions.Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.Clear Communication: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs.Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.Understanding of Experimental Design: You have a good grasp of experimental methodologies and analysis, allowing you to rigorously test and validate the impact of your solutions.If you’re driven to make an impact through innovative machine learning solutions, we’d love to see how you can help us push boundaries!Additional InformationThe position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.For any further questions about the position, you can turn to Product+ Talent Acquisition Partner – Fernanda (fernanda.prado.e.silva@wolt.com).

Expected salary

Location

Stockholm

Job date

Fri, 08 Nov 2024 23:03:49 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsineu.net) you saw this job posting.