3 Травня, 2021

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 is Johanna Viktor

Johanna is a Data Scientist with an engineering background working for industrial corporates for 8+ years. Her focus is on using ML to drive projects for efficiency gains. She is experienced in running large international projects preparing data infrastructures and delivering proof-of-concept. She is fluent in Chinese, English, and German.

Target participants

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.

Proof-of-concept

1000+ high-potential talents converted to data careers by AI Guild members as e.g. company trainers, online mentors, bootcamp instructors, hiring managers.
150+ 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 800+ members.

Your hosts

Dânia Meira is a Senior expert and mathematician in the data field since 2012 with a Data Science career in Berlin startups where her work focused on ML for predictive analytics. She is also an experienced teacher and mentor. Dânia is the head of #datalift and also a Founding member of the AI Guild.

Chris Armbruster designed and ran logfile analysis as the web was scaling (2008-2012); is an ex-bootcamp director, and runs the campaign 10,000 Data Scientists for Europe. Chris is the head of #datacareer and also a Founding member of the AI Guild.

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