Senior Data Scientists - Machine Learning
Wolt
Helsinki, Finland
3d ago

Job Description

For an online delivery platform like Wolt data science is a big opportunity. Our business has grown to a level (and keeps growing) where machine learning models for user acquisition, demand prediction, delivery time prediction, dynamic pricing, operations optimization etc.

can have a huge impact. A more effective delivery platform will benefit everyone in our ecosystem : our +90 000 courier partners, our merchants, and our 10+ million consumers.

We're looking for several Senior Data Scientists (ML) to join our competence team of 15+ data science and analytics professionals in Helsinki or Berlin.

Our Data Scientists at Wolt are working with machine learning for the most important processes and parts of Wolt’s online delivery platform.

The work consists of owning machine learning components as part of a product team; starting from identifying opportunities, to developing and prototyping a solution, all the way to maintaining and improving a production ready solution.

We are using a variety of technologies and tools e.g. Python, SQL, Spark, Snowflake, AWS, Looker, Airflow, MLflow, Kafka, Jenkins, and Grafana to get the job done, and constantly looking for ways to improve how our data scientists work.

You would work as an embedded Data Scientist in one business / product team and focus on and own that specific area together with a cross-functional team.

You’d closely collaborate with product leads, engineers , designers and fellow data scientists. Examples of areas with coming openings are logistics optimization, personalization, performance marketing, search, operations and our internal consulting unit.

Once we get your application, we can further discuss how to match your ambition with the different roles we’re having.

Qualifications

Plenty of hands-on experience with production-level data science projects all the way from prototyping to maintaining and improving production-ready solutions - i.

e. ability to handle a use case end to end

Deep understanding and experience with machine learning and solid understanding of statistics

Knowledge of experimental design and analysis, and A / B testing

Degree in a field relevant to data science

Fluent programming skills in Python, which is our main language for data science projects and experience with databases (SQL)

Comfortable with a long enough list of buzzw tools and technologies to be effective

Analytical and curious thinking, self-starter with a drive to get things done

Interest to contribute towards our Data Science team

Our offering to you

You will be part of a team, who identify themselves as Data Scientists, Data Analysts, and Business Intelligence Analysts.

This means you will get a lot of peer support and sparring on your way growing as a data professional.

The online delivery platform that Wolt is building will offer you interesting and complex challenges but also opportunities to create a big impact with your skills.

Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both challenging and oh so interesting company to practice analytics and data science.

You would 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

  • The compensation will be a negotiable combination of monthly pay and Wolt stock options. 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.

    If you want to check up on your application or have any further questions about the position you can turn to Talent Acquisition Partner, Jenni Kivikoski, at jenni.

    kivikoski wolt.com at any given time.

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