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AI Data Scientist

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Tübingen
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop AI and ML solutions, prepare data, optimize models, and ensure smooth operation of AI systems within the sales domain while closely collaborating with cross-functional teams.

    Job Technologies

    Your role in the team

    • The AI Data Scientist is responsible for development, implementation, and operation of AI and ML solutions within the AI Sales Assistant ecosystem.
    • The role focuses on model and prompt development, data pipelines, and ensuring reliable operations of AI systems.
    • Close collaboration with cross-functional teams ensures business requirements are translated into data-driven solutions.
    • The role contributes to building data-driven products by preparing data, training models, and ensuring deployment into production systems, while continuously improving model performance.
    • Your role will be an integral part of the central AI Innovation Hub being established at Solar Trade Holding.
    • Together in a team of developers, data scientists, project managers, and the Head of the AI Innovation Hub, you will drive AI innovation at Solar Trade.
    • Prepare, clean, and transform data for model training.
    • Ensure data quality, consistency and availability.
    • Integrate data from CRM, ERP, and other business systems.
    • Build and maintain data pipelines and feature engineering workflows.
    • Perform feature engineering and model optimization.
    • Support deployment and integration of models into systems.
    • Monitor model performance and implement improvements.
    • Design and optimize prompts and LLM-based solutions.
    • Assist in designing internal compliance frameworks, ethical standards, and operational standards in compliance with applicable laws, rules, and regulations (e.g., EU AI Act, GDPR).
    • Collaborate with stakeholders to translate requirements into models and insights.
    • Provide technical input and collaborate with project teams.
    • Help continuously improve development processes within the AI development team.

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    Our expectations of you

    Qualifications

    • Bachelor's or Master's in Computer Science, Data Science, or similar.
    • Strong proficiency in Python / R for data science (e.g., pandas, numpy, scikit-learn) and AI-supported development.
    • Expertise in feature engineering, data preparation, and data quality assessment.
    • Ability to select the right approach (statistical models vs. AI models) based on problem and data maturity.
    • Understanding of LLMs and other AI approaches from an analytical and evaluation perspective (incl. limitations, bias, quality) business-relevant performance metrics.
    • Strong analytical storytelling skills to translate insights into business decisions.
    • Grundlegendes Verständnis von Cloud- und AI Ops-Konzepten, um effektiv mit AI-Ingenieuren zusammenarbeiten zu können.
    • Strong problem-solving skills with an analytical mindset.
    • Team-oriented and open to collaboration with a diverse team.
    • Ability to explain technical concepts and findings to both technical and non-technical stakeholders.
    • Knowledge of renewable energy or technology sector is considered an advantage.

    Experience

    • Proven experience in Data Science / Data Engineering.
    • Advanced experience in statistical analysis, exploratory data analysis (EDA), and hypothesis-driven modeling.
    • Experience with data processing and pipelines.
    • Experience in B2B or sales analytics is considered an advantage.

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    What we offer

    • We care about you: if there are any problems, we will do everything we can to support you - no one is left out in the cold with us.
    • Further training opportunities via internal and external training courses.
    • Flexible working hours, mobile working, and modern workplace equipment, plus 30 days of vacation.
    • Discounted online shopping through our Corporate Benefits Portal.
    • Hybrid work schedule with possibility to work remotely.
    • Subsidy for the Germany Ticket, and e-charging stations in the free company parking.
    • Last but not least: you are driving forward the energy transition as part of a great team and ensuring that our future becomes a little greener.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

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    Topics that you deal with on the job

    Job Locations

    • Location Tübingen

      Baden-Württemberg

      Germany

    This is your employer

    Baywa AG

    Baywa AG

    As a global player, BayWa develops leading projects and solutions to address the fundamental needs of humanity for food, energy, and shelter. It is a world-renowned company with core segments in agriculture, energy, and building materials, as well as the development segment of Innovation & Digitalization.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Trade
  • Dev Reviews

    by devworkplaces.com

    Total

    (1 Review)
    3.1
    • Career Growth

      2.5
    • Engineering

      2.8
    • Workingconditions

      3.6
    • Culture

      3.5
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    Logo Baywa AG

    AI Data Scientist

    Location
    Tübingen
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    English Only
    English only required

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