Data Scientist role on the Data Science & Engineering team, focused on municipal heat-planning projects.

You’ll transform customer data, tweak Python-based heat-model algorithms, and deliver clear visual insights—all while collaborating closely with project managers and clients.

Key points
Focus area: Customer-driven municipal heat-planning projects

Core duties:

• Ingest, cleanse, and align customer data for proprietary heat models
• Modify Python algorithms/templates to fit project-specific requirements and new heat technologies
• Launch models and produce dashboards/diagrams that translate results for non-technical stakeholders
• Work with project managers & customers; track tasks in Jira (epics) under Kanban

Primary tech stack:

• Python (numpy, pandas, scikit-learn, etc.)
• Data-engineering tools: Airflow, dbt
• Databases: Postgres, duckdb, Snowflake
• Visualization: Superset and other BI tools (plus)

Methodological skills: end-to-end data-science projects, algorithm development, pattern-recognition methods

Experience & education:

• University degree + several years in data science
• Energy-sector or geospatial data background (preferred)
• German proficiency required for data navigation

Soft skills: sharp problem-solver, clear communicator, able to juggle multiple simultaneous customer projects