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 #datacareer with insights from the AI Guild.
This workshop offers you the following
- How you find the right role among the specialized roles in e.g. data engineering, data analytics, data science, machine learning, deep learning, computer vision, and natural language processing.
- Q&A for your most important questions as practitioners.
- Key insights from the AI Guild on the labor market, hiring, and career development.
Our special guest is Andrew Emmett. Andrew Emmett is a Data Analyst with a background in business intelligence and business analytics. He was the Head of Analytics at FreeNow, becoming the Head Coach Data Analytics at Neuefische. Andrew has created information tools that allow decisions to be made more quickly, with more certainty and less effort to create value for businesses and customers.
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 will likely 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.