Call for technical mentors 2023

Applications are now open for 2023 fellowship. Applications close on 31. January 2023.

Would you like to make a real difference to people’s lives and help some of the top emerging data scientists to fulfill their potential and help NGOs, charities, government organizations to make a difference? Would you like to work with us during the summer of 2023 and see how data can be used to work on real world projects that create change? If you have a passion for data science, care about the social good, and love to work in an international team of top talent, then we’re looking for some exceptional people and maybe, that could be you.

Data Science for Social Good fellowship in Germany is a 12-week project-based training activity designed to give aspiring data scientists a strong skill set for solving real-world problems and an understanding, excitement, and passion for solving problems with social impact. Working closely with governments, charities and nonprofits, fellows take on real-world problems in education, health, international development, and more. Previous Technical Mentors (TMs) have found the overall experience of DSSGx really rewarding, working on projects that deliver real world solutions alongside highly skilled, motivated and committed fellows. DSSGx is part of a growing, global network of using ‘Data for Social Good’, of which the TMs can become part.

The Data Science Technical Mentors (TMs) are a critical component of DSSGx. TMs work with dedicated teams of fellows and provide hands-on technical mentoring and data science expertise to the projects. Each TM is teamed up with a Project Manager who leads the relationship with the project partner as well as making sure the team is moving forward. Mentors will also help teach workshops and tutorials over the summer and are an integral part of the organizing team.

An ideal TM is an experienced data scientist with strong technical skills, practical experience, with an interest in mentoring students to learn real-world skills and make a social impact. Typically, TMs have worked in industry for a significant amount of time; working in areas such as Computer Science, Machine Learning, Social Science, Statistics, and related areas, and have experience working on data science problems.

This role will be for 13 weeks between 5th of June and 8th of September 2023. You will be based at the Technical University Kaiserslautern and the German Research Center for AI (DFKI). We are looking for two full time PMs, but there is potential for a job share for the right applicants.

Your responsabilities

  • Technical lead on 2-3 projects with 3-4 Fellows per team
  • Act as a technical adviser and mentor to fellows
  • Teach some workshops and tutorials, although we focus on learning through delivery (by doing)
  • Develop some material for the taught components
  • Work with the project manager to deliver additional sessions (e.g. discussions about ethics in data science)

How to apply

Send the following documents in a single PDF, quoting “TM Application DSSG” in the subject, via email to:

  1. A short cover letter stating why you would be the ideal candidate for the position (up to 1 page).
  2. A detailed CV, with special focus on: obtained degrees and additional training, publications, programming skills, experience working on social impact projects, your track record. You will need to show you have the ‘Right to Work’ in Germany, which may require a visa.

Who we are looking for

The successful candidate will have:

Essential skills

  • Competent methodological background in applied ML and applied data science
  • Experience with either data science / machine learning toolkits in Python (Panda, NumPy, Matplotlib, Scikit- Learn, Beautiful Soup)
  • Real world, professional experience in a field that utilizes modern day data science tools and methodologies
  • An understanding of the importance of good practices for producing reliable software and reproducible analyses: software project management and collaborative coding, Git and Github, issue tracking, literate analysis tools such as Jupyter
  • Demonstrated enthusiasm and ability to rapidly assimilate new computational and mathematical ideas and techniques on the job, at a more than superficial level, and apply them successfully
  • A desire to use data for global ethical and social good, that generates a social impact

Desirable skills

We do not expect any candidate to have experience of all of the below! We are a learning team, combining many techniques and approaches to address our projects. Successful candidates will be able to demonstrate existing knowledge of more than one criteria, depending on experience level, and, importantly, a commitment to develop new expertise in others.


  • working on social impact projects and passion for making a social impact
  • using large, scalable relational databases, ranging from postgresql to redshift
  • writing technical documentation.
  • with public cloud platforms.
  • working with confidential and sensitive data for research.
  • contributing to, maintaining and/or leading open source research software projects.
  • building open source communities.
  • working with databases and APIs for the acquisition of parameter information for models.
  • developing and/or delivering teaching and training in computational or mathematical methods for research.
  • automated testing, software quality assurance and continuous integration.
Sebastian Vollmer
Sebastian Vollmer
Professor for Applications of Machine Learning

My research interests lie at the interface of applied probability, statistical inference and machine learning.