Senior Data Scientist, Search
Berlin, Germany
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 build and deploy applied data science models using a variety of approaches including data mining, statistical analysis, and 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 Consumer Search team, to work together with engineers, product, design and analytics people, on developing algorithms and solutions for improving our search experience. The team owns the domain end to end, from developing approaches, to testing and understanding their impact, and to deploying and maintaining them under strict performance requirements.
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
- Interest and past experience in search engines (both in natural language retrieval and ranking), recommendation systems and/or personalization
- 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.
- Knowledge of experimental design and analysis, such as A/B testing
- You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL). You value good software engineering practices and take pride in the quality of your code.
- You’re comfortable with a long enough list of buzzw… tools and technologies to be effective in your role. Some of the technologies we work with are mentioned in the beginning of this ad.
- Ideally, you’ll also have a degree in a field relevant to data science
- You’re analytical and curious, we’re looking for a self-starter with a drive to get things done. Also as well a good communicator, willing to collaborate with people in- and outside of the team
Our offering to you
- Small yet growing data science team around you so there will be plenty of opportunities for you to grow as a Data Scientist.
- You can choose the location from our tech hubs Helsinki or Berlin, or you can work entirely remotely anywhere in Finland, Germany, Sweden, Denmark and Estonia. You have the chance to decide the ways of working —· a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup.
At Wolt, you’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work. 🤩
Additional Information
Once we get your application, we can further discuss how to match your ambition with the different roles we’re having in the Data Science team.
If you’d like to check up on your application or have any further questions about the position you can turn to Jerome Marks, our Talent Acquisition Partner for Analytics & Data Science at jerome.marks@wolt.com at any given time. We’re always happy to have a chat. 👋
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow Data Mining Docker Engineering Kafka Looker Machine Learning MLFlow MLOps Prototyping Python Snowflake Spark SQL Statistics Testing
Perks/benefits: Career development Home office stipend
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