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

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What is working at Bettermile like?

We offer a highly creative and autonomous environment, a flat hierarchy, and professional growth opportunities. We support a hybrid work model with regular on‑site collaboration days in our modern Berlin‑Kreuzberg office and allow up to 12 weeks of remote work per year.

  • 30 vacation days in a 5‑day week model
  • 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

About the team

The Feature team of the Better Places tribe builds a world‑class location‑services solution integrating multiple providers for accurate geocoding, geocode corrections, and worldwide address information, using open‑source and proprietary data and algorithms to serve 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.

Qualifications

  • 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.

Nice‑to‑have

  • Hands‑on experience or a deep interest in applying LLMs and modern AI‑driven features in a product environment.

Eligibility

Candidates must be authorized to work in Germany or already hold a Job Seeker Visa.

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