Data and AI Coach

hace 1 semana

Madrid, Madrid, España Basf A tiempo completo

About Us

BASF Digital Hub Madrid is a leading digital innovation hub that develops cutting-edge digital solutions for BASF, driving business growth and process efficiencies. We believe in the power of creativity, collaboration, and continuous learning. Join our team and be part of shaping the future of the chemical industry.

Our Team

The Artificial Intelligence (AI) Enablement team at BASF Digital Hub Madrid plays a vital role in driving the AI transformation across the organization. We provide exceptional Data Science services to stakeholders, empowering them with AI skills and competencies that enable informed decision-making and drive business growth.

Job Responsibilities

  • Deliver Coaching and Training Sessions: Design and deliver theoretical and hands-on coaching and training sessions to employees of varying levels, domains, and backgrounds.
  • Facilitate Practical Training: Facilitate practical training sessions in data analysis, machine learning, and AI applications, ensuring participants gain hands-on experience.
  • Curriculum Development: Assist in the development and refinement of the academy's curriculum based on participant needs and industry trends.
  • Progress Monitoring and Feedback: Monitor and assess participant progress, providing constructive feedback and personalized guidance.
  • Collaboration and Design: Collaborate with the academy team to ensure the program is effective, up-to-date, and engaging, contributing to the design and implementation of post-program support and resources.
  • Staying Up-to-Date: Keep abreast of the latest trends and developments in Data and AI and change management.

Qualifications

  • Education: A Bachelor's degree in Business Information Tech with a focus on Data Analysis, Data Science, or Data Engineering, or a related field, or a Master's degree or PhD in a related field.
  • Experience: Minimum of 4-5 years of work experience in a similar role, with experience in coaching or education preferred.
  • Skills: Proven track record in implementing AI or data-centered projects, strong knowledge of machine learning, deep learning, and AI concepts, proficiency in Python.

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