Hybrid Data Scientist

Posted last month

Apply now

About the role

  • Lead development of ML engine powering forecasting and optimization Handling geospatial data related to our products Developing & reviewing spatio-temporal models Build production-grade ML pipelines, monitoring, and deployment processes Collaborate with backend and product teams to integrate ML at scale Advocating Data Science topics to to other members of the team

Requirements

  • 4–6 years experience as Data Scientist/ML Engineer Strong applied ML skills (Python, ML frameworks, MLOps tools) Proven record of deploying models in production Startup/scale-up experience; thrives in dynamic environment Communicates well with engineers, PMs, leadership Good English language skills (German language not required) Nice-to-have: experience with Azure ML tools Bonus: familiarity with Kedro

Benefits

  • Opportunity to shape a fast-growing start-up and make a significant impact on our future. Join a fantastic team with a vibrant start-up spirit and English as the working language. Enjoy flexible working hours with a healthy mix of office and remote work. Continuous training and learning support through events, training sessions, and courses. Top equipment, incl. individual equipment budget for special requests, company phone, company e-scooters, etc. Participate in regular team events to foster a collaborative and fun work environment. Receive a competitive salary based on your experience and qualifications As an innovative start-up, we value your fresh ideas, unique perspectives, and motivations to contribute to a livable future with the power of climate tech.

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job