Data Scientist for AI Solutions

hace 7 horas

Madrid, Madrid, España Basf Digital Solutions A tiempo completo
About Us

BASF Digital Solutions is a leading digital innovation hub, developing cutting-edge solutions for the chemical industry. Our team is committed to driving business growth and efficiency through innovative data-driven solutions.

Our Team

We are a global team that embraces diversity and equal opportunities, working together to develop the future of digital solutions. Our team is passionate about creativity, trial and error, and collaboration.

Job Description

We are seeking a talented Data Scientist to join our AI Solutions team. As a Data Scientist, you will be responsible for implementing AI solutions based on machine learning and data science for decision support. Your focus will be on Generative AI-based solutions using Large Language Models, with a special emphasis on RAG architecture.

Responsibilities

  1. Implement AI solutions based on machine learning and data science for decision support.
  2. Focus on Generative AI-based solutions using Large Language Models with RAG architecture.
  3. Work on data engineering and converting system data into data pipelines for machine learning and simulation.
  4. Support and improve ML Ops on AI Solutions with a focus on predictions, forecasting, alerting, and simulations.
  5. Translate requirements of supply chain teams into AI solutions.
  6. Support decisions on solution architecture and selecting the relevant tech stack based on user requirements.
  7. Drive the sustainable implementation of AI-based supply chain solutions, including data integration and enterprise data lake concepts.

Qualifications

  • Background in information technology, computational sciences, engineering, or other data-centric disciplines (B.Sc. or M.Sc.).
  • More than 3 years of professional experience as a Computer Science, Engineering, Artificial Intelligence Architecture, Data and Machine Learning Engineering or equivalent, working in an agile environment.
  • Hands-on experience working with large data sets, relational databases, establishing database connectivity, data integration, and related technologies (SQL, Databricks, Kafka, etc.).
  • Expert knowledge of Python with a focus on machine learning and data science-related libraries (e.g., Pandas, scikit-learn, TensorFlow, PyTorch, etc.).
  • Familiarity with object-oriented programming is a plus.
  • Hands-on experience with MLOps processes (Continuous Integration/Continuous Deployment) and automating ML workflows (Microsoft Azure or other platforms).
  • Experience with software development and version control, preferably for cloud-based applications in an agile setup (e.g., Kanban, Scrum).

Benefits

  • Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
  • Adequate compensation according to your qualifications and experience.
  • A secure work environment because your health, safety, and wellbeing is always our top priority.
  • Flexible work schedule and Home-office options, so that you can balance your working life and private life.
  • Learning and development opportunities.
  • 23 holidays per year.
  • Another 5 days (readjustment days) and 2 days (cultural days).
  • A collaborative, trustful, and innovative work environment.
  • Being part of an international team and work in global projects.

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