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

Benefits

• Hybrid work model with weekly in‑office team days and up to 12 weeks remote work per year.

• 30 vacation days on a 5‑day per week schedule.

• Kindergarten grant and company pension scheme.

• Regular team breakfasts, fitness & wellness classes, company runs, and other events.

• Fruits, snacks, drinks, and coffee with a variety of milk available.

• Outstanding flexibility and a supportive, flat‑hierarchy environment.

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 productionising 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 productionising 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 visualisation 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.

Currently, we’re proceeding only with candidates authorised to work in Germany or who already hold a Job Seeker Visa.