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BABayWa r.e.

AI Data Scientist(m/w/x)

Tübingen
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Building AI-driven data pipelines for renewable energy analytics. Advanced statistical analysis and Python/R proficiency required. 30 days vacation, flexible hours, mobile working.

Requirements

  • Bachelor's or Master's in Computer Science, Data Science, or similar
  • Proven experience in Data Science / Data Engineering
  • Advanced statistical analysis, EDA, and hypothesis-driven modeling
  • Strong Python/R proficiency for data science (pandas, numpy, scikit-learn)
  • AI-supported development skills
  • Expertise in feature engineering, data preparation, and quality assessment
  • Ability to select appropriate models based on problem and data maturity
  • Understanding of LLMs and AI approaches (limitations, bias, quality)
  • Strong analytical storytelling for business decisions
  • Experience with data processing and pipelines
  • Basic understanding of cloud & AI Ops concepts
  • Strong problem-solving skills with analytical mindset
  • Team-orientation and openness to collaboration
  • Ability to explain technical concepts to stakeholders
  • Experience in B2B or sales analytics (advantageous)
  • Knowledge of renewable energy or technology sector (advantageous)

Tasks

  • Prepare and clean data for model training
  • Ensure data quality, consistency, and availability
  • Integrate data from CRM, ERP, and other business systems
  • Build and maintain data pipelines
  • Perform feature engineering
  • Optimize machine learning models
  • Support model deployment and integration
  • Monitor and improve model performance
  • Design and optimize prompts and LLM-based solutions
  • Assist in designing internal compliance frameworks
  • Ensure ethical standards and operational standards
  • Comply with laws, rules, and regulations (e.g., EU AI Act, GDPR)
  • Collaborate with stakeholders to translate requirements
  • Provide technical input to project teams
  • Continuously improve AI development processes

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
  • pandas
  • numpy
  • scikit-learn
  • LLMs

Benefits

Learning & Development

  • Further training opportunities

Flexible Working

  • Flexible working hours
  • Mobile working
  • Hybrid work schedule
  • Remote work possibility

Modern Office

  • Modern workplace equipment

More Vacation Days

  • 30 days of vacation

Corporate Discounts

  • Discounted online shopping

Public Transport Subsidies

  • Subsidy for Germany Ticket

Parking & Commuter Benefits

  • E-charging stations
  • Company parking
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BayWa r.e. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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