Analyst? Engineer? Scientist? Roles in industry and startups
How to find the best 2nd and 3rd data role in a rapidly evolving and increasingly specialized data economy? Enhance your career with insights from the AI Guild.
This workshop offers you the following
- How to find the right role for you among the emerging specialized roles in e.g. data engineering, data analytics, data science, machine learning, and deep learning.
- Pragmatic advice on handling your CV and skills profile for your next role.
- Orientation on the labor market, what employers miss most, and which #aisusecase are winning.
Our special guest
Dr. Tereza Iofciu is Head Data Science Coach at neuefische Bootcamp in Hamburg and an experienced speaker on data, product, management, and diversity. Tereza has 10+years of industry experience having worked as a data science manager, data scientist, data engineer, and product manager. She is a co-organizer of the PyLadies Hamburg group, hosting regular meetups dealing with data, python, and IOT together with some awesome ladies. She is also a vice-chair of the Python SV Verband and part of the Diversity&Inclusion initiative of the PSF.
Talents looking for a 2nd or 3rd role in the field. You typically will have some experience already – and possibly up to 4 years in the field.
If you are looking for a first role you are likely to enjoy analytical thinking and have experience in Python or R and the relevant libraries. Also, if you are looking for a career change, then your background may well be in e.g. related data professions (like BI) or software engineering, or a data-intensive Ph.D. in a STEM discipline.
- 1000+ high-potential talents converted to data careers by AI Guild members as e.g. company trainers, online mentors, bootcamp instructors, hiring managers.
- 100+ AI Guild leaders in the field, e.g. bootcamp directors, university professors, technical leads, business architects, startup founders, industry CxO.
- The AI Guild community with 700+ members.
Dânia Meira Senior expert and mathematician in the data field since 2012 with a Data Science career in Berlin startups; experienced teacher and mentor.
Chris Armbruster Designed and ran logfile analysis as the web was scaling (2008-2012); has since been working to push data-driven products and business, and runs the campaign 10,000 Data Scientists for Europe.