Das ist der Job
Driving the evolution of our geocoding systems from rule-based logic to ML-based matching and normalization.
Darum lohnt es sich
Responsibilities Machen Sie jetzt den nächsten Schritt in Ihrer Karriere, scrollen Sie nach unten, um die vollständige Stellenbeschreibung zu lesen und bewerben Sie sich. 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. xayajpt 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.
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.
Requirements 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.
