Senior Data Scientist - Geo-Data (d/f/m)

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 services are at the heart of any delivery experience, and the Feature team of Better Places tribe is building a world-class solution that integrates multiple providers to get accurate geocoding, enables geocode corrections, and serves relevant information about addresses worldwide. We use open-source and proprietary data and algorithms to build a highly scalable system that serves billions of requests. You will be taking care of: Driving the evolution of our geocoding systems from rule-based logic to ML-based matching and normalization. Building and improving confidence and relevance scoring models, including automated false-positive detection. Developing and productionizing data-driven solutions to improve geocoding quality. Exploring and prototyping new use cases, such as “last meter” challenges. Automating benchmarking and evaluation pipelines to measure model performance. Driving cross-team initiatives, contributing to the long-term data strategy, and mentoring more junior data scientists. You check these boxes: 5+ years of experience in Data Science with a proven track record of productionizing complex models and tackling geospatial data challenges. Strong skills in Python and SQL, combined with hands-on experience in AWS (Athena, Sagemaker), Snowflake, and dbt. Practical experience with data orchestration tools (e.g. Airflow or Dagster) and data visualization via Metabase or Quicksight. Ability to autonomously develop new strategies from scratch and identify high-impact opportunities within vast datasets. Strong ownership mindset and communication skills to drive cross-functional projects and mentor team members. It is awesome if you also have: 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. Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints. We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.