Would you know what a competency profile would like for e.g. a computer vision engineer, data scientist, or data analyst?

Issues we observe include

• Although team play increases data role specialization, the data career paths seem not so well understood by companies and practitioners alike
• While promotions are happening and companies are keen on hiring senior practitioners, it seems complicated to gauge the required quality standards for senior roles effectively

Join this 60-minute workshop for a chance to start thinking about your skillset in a way that helps you advance your career to the Senior level.

1. How does my skills profile serve the build-up of domain competency?
2. What benchmarks for the senior level can I use?
3. Is there a predictable path to the senior level?

Proof-of-concept

Since 2019, the AI Guild has run 70+ events on #datacareer with its 700+ members and the interested community. Career coaching has been running with 100+ members, and the pilot career development program has 15 participants (10 women, 5 men). Find out more at theguild.ai

60-min format

You get an interactive Q&A format from the get-go with the following

• 2-3 examples of successful competency profiles (drawn from business intelligence, data analytics, data science, machine learning, deep learning, natural language processing, and computer vision)
• Insight into Senior level profiles and requirements
• Tips on advancing your career to the Senior level

Register now to save your spot.