Bettermile Berlin vor 3 Wochen

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

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Das ist der Job

Kindergarten grant and company pension scheme.

Darum lohnt es sich

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

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.

Driving cross‑team initiatives, contributing to the long‑term data strategy, and mentoring more junior data scientists. 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. Fruits, snacks, drinks, and coffee with a variety of milk available. Outstanding flexibility and a supportive, flat‑hierarchy environment.

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.

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. Currently, we’re proceeding only with candidates authorised to work in Germany or who already hold a Job Seeker Visa. #J-18808-Ljbffr

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