Episode 42
Data Jobs: Interview with Data & Machine Learning Expert Catherine Lopes PhD (Ep 42)
Who would have thought that 2020 would be the year of data charts? That we would be glued to the daily news like never before, anxiously waiting to see more and more charts, expecting data analysts to tell us which way curves, bars, and pie charts are progressing? Be it for the number of patients with COVID-19, unemployment numbers, political and consumer sentiment, stock markets... this year has been filled with data analysis, and we are all paying close attention.
Have you ever wondered what a data professional job looks like? Why did Forbes report that data jobs are the sexiest jobs in the 21st century? And how can non-data professionals either upskill, re-skill, or learn to collaborate with data professionals?
If you are interested to find out more, you are in luck! My guest for this week's episode is a data strategist and machine learning expert. Catherine Lopes is the Head of Data Strategy and Analytics at ME Bank in Australia and the co-founder of three startups. A business-focused data scientist and passionate educator, Catherine helps organizations increase their business performance by applying advanced analytics and improving enterprise data management. She has worked internationally across a wide range of sectors with specialties in machine learning and analytics transformation.
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Timestamps to guide your listening:
- 07.31 - Catherine's career journey
- 10.58 - How to know where and when to spend energy in your career for career advancement?
- 15.48 - What is data science? Catherine explains her expertise and how important it is post-COVID.
- 17.51 - How corporate work is potentially going to change in the next 3 to 5 years, and how to adjust your skills.
- 22.10 - How can professionals in humanities help data science and AI?
- 27.53 - Data Science and ethics.
- 30.22 - Issues of data-driven problems such as bots and RPA replacing everyone's jobs.
- 36.20 - Is there still time for a mid-career professional to make a shift to data science?
- 38.31 - Professions that can easily transition to data science.
- 43.04 - Catherine the mentor and her LinkedIn activity.
- 45.42 - Catherine turns data on its own professionals: comparing data professions by gender, age, and other factors.
- 52.50 - Catherine's list of questions to ask employers.
- 56.03 - How is working from home for data scientists, and is it sustainable?
- 57.10 - Tips and advice for people looking for work.
Links mentioned in this episode:
- Lean in videos of Catherine’s presentation on Personal Branding
- Lean in Melbourne of Renata’s presentation on Confidence
- Catherine’s article about job questions data professionals should ask at job interviews
- Catherine’s LinkedIn: follow her and look out for her charts about data science profession
- Ada’s Tribe meetup
- Ada’s Tribe LinkedIn Page
- Catherine posts about books to read about data
About the host, Renata Bernarde
Hello, I'm Renata Bernarde, the Host of The Job Hunting Podcast. I'm also an executive coach, job-hunting expert, and career strategist. I teach corporate, non-profit, and public professionals the steps and frameworks to help them find great jobs, change, and advance their careers with confidence and less stress.
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