Join us to apply for the Data Scientist - Energy & NILM (m/w/d) role at Veli.
About Veli:
We are a startup with a mission: Turning households into protectors. Our AI-powered solution analyzes electricity and water consumption data in real time to detect irregularities, such as left-on stovetops, leaks, or emergencies involving people living alone, enabling us to call for help.
Our AI is used by leading providers in assisted living and emergency call services. Supported by experts and investors from care, energy, and tech sectors, we aim to bring Veli into millions of households.
Starting in September, join us in Munich or Kassel and help shape the future of Veli!
Role Responsibilities:
* Develop ML and AI models for detecting routines and anomalies in energy consumption data in real time
* Introduce new AI-based features and services into our live product
* Ensure high accuracy and reliability of real-time analyses
* Validate algorithms in CI/CD pipelines, including data labeling and automated validation
Qualifications:
* At least 2 years of professional experience as a Data Scientist, with skills in software development, git, and PR review processes
* Proficiency in Python programming
* Expertise in time series analysis, statistics, data engineering, and data labeling, preferably with energy data and NILM
* Independent, structured, and proactive work style
* Good communication and coordination skills
* German (B1) and English (C1) language skills
* Optional: Experience in startups or dynamic environments
Benefits:
* Rapid responsibility and personal growth opportunities
* Supportive environment in a growing startup
* Meaningful product with societal impact and market potential
* Modern offices in Kassel and Munich with flexible hours
* Attractive salary and participation options
Why it matters: Addressing societal challenges like aging populations and loneliness with scalable, data-driven solutions that make a real difference.
If you want to develop technology for people and grow professionally, join us!
Additional Details:
* Seniority level: Entry level
* Employment type: Full-time
* Job function: Information Technology
* Industries: IT Services and IT Consulting
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