Senior Data Scientist (all genders) in Berlin

Senior Data Scientist (all genders) in Berlin

Senior Data Scientist (all genders) in Berlin role at Dott

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.

Permanent employee, Full‑time

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

• 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.
• Owner of fleet positioning – the core data science project for our company. Directly own related business KPIs and together with product and operations drive improvements to this project.
• Together with our Head of Data 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 role.
• Proficiency in Python software engineering for a live data science service (pytest, pydantic, FastAPI, GitHub workflows).
• Excellent SQL skills.
• 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.

Benefits

• 💻 One‑time home office bonus upon your start to create your ideal home office set up.
• 📚 Annual learning & development budget.
• 🛴 Rides program with availability to opt in and opt out to ride our e‑scooters & e‑bikes.
• ☀️ Partnership for mental health at work, with free 1‑on‑1 video counselling, self‑guided development and more.
• 🚀 Company onboarding.
• 🌴 Sabbatical program.
• ⏳ Flexible hours and 1‑month remote working option.
• 🏳️🌈 Diversity and inclusivity initiatives and programs.
• 🎉 Public holiday swap – you can switch two public holidays to another day.
• 🌍 Voluntary day off for charity work.
• Benefits may vary depending on country and position.

We actively encourage a diverse and inclusive environment that fosters each employee's individuality at Dott. We take affirmative action to ensure equal opportunity for your application, regardless to your nationality, ethnic or national origin, skin color, religion, disability, sex, sexual orientation or gender identity. Come as you are and join our ride!

In case you are living with disabilities, chronic illness or neurodiversity please inform us so we can ensure a smooth application process.

If we could spark your interest and you want to change mobility for good with us, apply now and let us know why you're the one for the job! We encourage everyone to apply and grow with us. Even if you may not tick all the boxes of the requirements, we are happy to hear about the value you can add to the team. We are all learners!

We are looking forward to your application!

At Dott, we respect fundamental privacy rights. We process your personal data in accordance with the requirements of the General Data Protection Regulation ("GDPR"). For a clear explanation of how we handle and process your personal data, please read our Candidate Privacy Statement.