Senior Data Scientist (all genders) in Berlin

Senior Data Scientist (all genders) in Berlin

Berlin, Berlin, Germany

TIER-Dott is the European champion of shared micro-mobility. Created through the merger of operators TIER and Dott in March 2024, the company decided to move forward under the name of Dott and integrated all vehicles into the Dott app. With the mission to change mobility for good, the team is led by CEO Henri Moissinac and President Maxim Romain. TIER-Dott facilitates sustainable travel, reduces congestion and pollution in cities, and decreases reliance on cars. With more than 250,000 shared vehicles in more than 400 cities across 21 countries in Europe and the Middle East, the 10 million users have generated over 400 million rides so far. For more information, visit

At Dott, our data scientists are active across a wide range of functions, offering both advanced analytical support to business stakeholders alongside building large scale data products to support operations. We’re a pragmatic team that likes to use the best tool for the job, which currently includes Bayesian modeling and more standard machine learning approaches.

THE ROLE AND YOUR IMPACT

• You will work as a full-stack data scientist, responsible for data ingestion, prototyping, writing production code, deployment and integration, testing and experimentation, and monitoring the performance of our tools
• You will be the owner of fleet positioning - the core data science project for our company. You will directly own related business KPIs, and together with product and operations will drive improvements to this project
• Together with our Head of Data, you will create a long‑term roadmap that will take our existing solution and bring iterative improvements to it

YOU’LL FIT GREAT WITH THESE SKILLS AND QUALIFICATIONS

• 5‑7 years of experience in a data science/machine learning roles
• Proficiency in python software engineering for a live data science service (pytest, pydantic, FastAPI, github workflows)
• Experience being the lead developer on an applied data science project, including owning high‑level KPIs and being responsible for their improvement
• Experience working with operational research tooling and associated libraries
• Experience on an applied geospatial data science project, ideally a supply‑demand matching project
• Familiarity with probabilistic programming (PyMC, NumPyro, PyStan)
• Excellent communication skills, verbal and written.

THIS MAY INSPIRE YOU*

• Our one time home office bonus upon your start to create your ideal home office set up
• Our annual learning & development budget