
Senior Data Scientist - Better Places (d/f/m)
Bettermile
Posted about 3 hours ago
What is working at Bettermile like?
We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work.
You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions.
We mean diversity, and we put it in numbers: 130+ people, 36 languages, 35% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us.
We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities.
We work in a hybrid mode, with weekly team days for better collaboration and nurturing interpersonal connections. When onsite, we work in a modern, kid- and pet-friendly Better Space in the heart of Berlin-Kreuzberg.
Remote work from anywhere for up to 12 weeks in total per year.
30 vacation days in a 5-day/week working model.
Kindergarten grant and a Company Pension scheme.
Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them.
Outstanding flexibility we are proud of – and, of course, the best colleagues in the world!
About the Team
Location data sits at the heart of every delivery, and the Better Places tribe owns the address intelligence that makes those deliveries possible. We ingest messy, real-world address inputs, normalise them, correct geocoding errors, and enrich them with open and proprietary data—all at a scale of hundreds of millions of requests per month.
Within the tribe, the Geo Solutions team builds and maintains the data pipelines that power our address enrichment, first-mile routing, and last-meter delivery features. We focus on building scalable, observable, and high-quality geodata workflows that enable fast onboarding of new markets and continuous improvement in existing ones.
Our Tech Stack
Development: Python, SQL
Warehouses and ML: AWS suite (Athena, Sagemaker), Snowflake
Data pipelines: dbt
Orchestration and Scheduling: Dagster
Dashboarding: Quicksight / Metabase / Streamlit
AI: Copilot / Claude
You will be taking care of
Driving the evolution of our delivery intelligence platform, with a focus on developing ML models that optimise the final steps of a delivery and increase productivity for field drivers.
Delivering customer-facing, production-ready systems integrated into Bettermile's product suite.
Shaping the long-term strategy for hyperlocal delivery intelligence by identifying where it has the largest impact and the most value for customers.
Driving cross-team initiatives, contributing to the long-term data strategy, and mentoring more junior data scientists.
You check these boxes
5+ years in Data Science deploying complex models.
Thorough understanding of machine learning algorithms and translating them into tangible business solutions.
Proficient in designing advanced analytics systems and embedding them smoothly into existing product landscapes.
Proven ability to autonomously build strategies from scratch and extract high-impact insights from vast datasets.
Strong ownership mindset used to drive cross-functional projects and mentor junior team members.
It is awesome if you also have
Experienced in tackling geospatial data challenges (a strong asset).
Hands-on experience or a deep interest in applying LLMs and modern AI-driven features in a product environment.
Take your chance
Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward.
Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa.
About us
At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone.
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