Senior Data Scientist, Logistics

Company Description

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a global logistics platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In November 2021 Wolt and DoorDash announced we’re joining forces, and the transaction is expected to close in H1 2022.

Working in Product Development at Wolt

At 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 400+ 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 37 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 & Inclusion

We 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!

#LI-MARCO

Job Description

Data Scientists at Wolt are working with machine learning for the most important processes and parts of Wolt’s online delivery platform and business operations that affect all the 23 countries we operate in. The work consists of owning machine learning use cases as part of a product or business team; starting from identifying opportunities, to developing and prototyping a solution, all the way to deploying, maintaining, and improving a production-ready solution inside of the embedded product team. We use a variety of technologies and tools including Python, SQL, Spark, Docker and K8s, Snowflake, Looker, Flyte, Seldon Core, Airflow, MLflow and Kafka to get the job done, and constantly looking for ways to improve how our data scientists work. 💪💪

We are looking for a data scientist to be embedded into our cross-functional Logistics Optimization team, working together with engineers, optimization algorithm developers, product and analytics people, on different problems related to our logistics operations. The team owns several key components to Wolt’s operations, e.g. the route optimizer and the delivery time estimates. The logistics platform connects couriers to tasks through our in-house route optimization service, which in turn relies on the delivery estimates that we generate for each step of the delivery process. All the different parts of the system come together to automatically manage customer expectations and delivery efficiency. The team also develops approaches for understanding and estimating the operational and business impact of different improvements.

Also, to learn more about Wolt, be sure to check out Machine learning at Wolt - our journey towards MLOps, our Wolt Algorithmic Transparency Report, and Wolt Tech Talks. 💡

Qualifications

• You have plenty of hands-on experience with production-level data science projects — from prototyping to deploying and maintaining and improving production-ready solutions (i.e. ability and interest to handle a use case end to end).
• You have a deep understanding and experience with machine learning, and a solid understanding of statistics. It helps if you know about operations research and optimization too.
• Interest in the logistics domain, prior experience a plus
• You’ve got knowledge of experimental design and analysis, such as A/B testing and/or switchback experiments
• You’ll have fluent programming skills in Py