Data & AI Coach (m/f/d)

Job title:

Data & AI Coach (m/f/d)

Company:

BASF

Job description

ABOUT USAt BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us – in a global team that embraces diversity and equal opportunities.WHAT YOU CAN EXPECTOur team “Artificial Intelligence (AI) Enablement” provides exceptional Data Science (project & upskilling) services to stakeholders across BASF. We play a vital role in driving the AI transformation at BASF and serve as the backbone of the Analytics & AI Community. With a focus on developing exceptional content, innovative learning formats and ensuring sustainable learning outcomes for BASF employees, our goal is to empower all of BASF with AI skills and competencies that enable informed decision-making and drive business growth.As a Data & AI Coach, your responsibilities will include delivering Data & AI trainings as part of our internal Data & AI Academy, providing guidance, and coaching to employees participating, and promoting a culture of continuous learning and improvement to increase the level of data and AI Literacy within the organization.RESPONSIBILITIES

  • Deliver theoretical and hands-on coaching and training sessions to employees of varying levels, domains and backgrounds.
  • Facilitate practical training sessions in data analysis, machine learning, and AI applications.
  • Assist in the development and refinement of the academy’s curriculum based on participant needs and industry trends.
  • Monitor and assess participant progress, providing constructive feedback and personalized guidance.
  • Collaborate with the academy team to ensure the program is effective, up-to-date, and engaging.
  • Contribute to the design and implementation of post-program support and resources.
  • Keep abreast of the latest trends and developments in Data and AI and change management.

QUALIFICATIONS

  • A Bachelor degree in the field of Business Information Tech with focus on Data Analysis, Data Science or Data Engineering, Computer Science or related field with at least 4-5 years of work experience in a similar role
  • A Master degree or PhD in the field of Business Information Tech with focus on Data Analysis, Data Science or Data Engineering, Computer Science or related field with at least 1 years of (non-academic) work experience in a similar role.
  • Additional, prior teaching experience would be advantageous.
  • Minimum of 4-5 years’ experience in a data or AI role, with experience in coaching or education preferred.
  • Proven track record in implementing AI or data-centered project.
  • Strong knowledge of machine learning, deep learning, and AI concepts, proficiency in Python.
  • Good understanding of requirements and learning needs in data-driven business use cases.
  • Familiarity with the challenges and opportunities in driving Data & AI driven learning/enablement initiatives within an organization.
  • Strong communication and presentation skills to effectively explain information and engage diverse audiences.
  • Able to convince, engage and win internal and external stakeholders for the topic of Data & AI.
  • Emotionally intelligent and loves to work with people from different domains, roles & backgrounds.
  • Fluency in English.

NICE TO HAVE

  • Familiarity with corporate upskilling and adult learning
  • Experience in designing and delivering training programs.
  • Knowledge of learning management systems.
  • Experience in a global, multicultural setting.
  • Conversational language skills in further languages, ideally German.

BENEFITS

  • 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 holiday days per year
  • 5 additional days (readjustment)
  • 2 cultural days
  • A collaborative, trustful and innovative work environment
  • Being part of an international team and work in global projects
  • Relocation assistance to Madrid provided

At BASF, the chemistry is right.Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us – in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.A unique total offer: you@BASFAt BASF you get more than just compensation. Our total offer includes a wide range of elements you need to be your best in every stage of your life. That’s what we call you@BASF. Click here to learn more.A unique total offer: you@BASFAt BASF you get more than just compensation. Our total offer includes a wide range of elements you need to be your best in every stage of your life. That’s what we call you@BASF. Click here to learn more.Discover the world of BASF and develop data solutions for the Chemistry 4.0 era – for a sustainable future. Help drive the digital transformation of the chemical industry by harnessing the potential of the latest data science technologies and data sources.About BASFFind out what BASF has to offer as an employer and why you should join our team.Your applicationHere you find anything you need to know about your application and the application process.Contact usYou have questions about your application or on how to apply in Europe? The BASF Talent Acquisition Europe team is glad to assist you.Please note that we do not return paper applications including folders. Please submit copies only and no original documents.Madrid, ESBASF Digital Solutions S.L.DigitalizationPermanent104905ATS_WCMS_WEBFORM

Expected salary

Location

Madrid

Job date

Tue, 02 Jul 2024 22:10:38 GMT

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