Essential Tips for Aspiring Data Scientists : SPILL THE SAUCE with Dr. Kruti Lehenbauer | Jess Get Hired Podcast | Episode 82


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Jul 10 2024 19 mins  
Spill the Sauce: Essential Tips for Aspiring Data Scientists (Episode 82)

Spill the Sauce: Essential Tips for Aspiring Data Scientists (Episode 82)

Episode Summary

In this episode of "Jess Get Hired", Jessica welcomes Dr. Kruti Lehenbauer, a Business Growth Advisor, Guaranteed Growth Consultant, and Fractional Chief Data Analysis Officer. With over 20 years of experience in data science and a passion for simplifying complex data, Dr. Kruti shares her insights on breaking into tech, the role of data scientists, and how to navigate a career in data analytics.

Key Quotes

  • Dr. Kruti Lehenbauer on data science basics:
    • "Statistics is a way to check if what you are seeing as a sample is truly representative of the true behavior of everything out there."
    • "Identify which variables are actually causing changes and which variables are just moving along with the changes."
  • On breaking into tech:
    • "Overcome any potential or hidden fears that you may have about math. Without the basics of math, you're not going to make a successful data scientist."
  • On the demand for data scientists:
    • "The growth path in data science is exponential. First couple of years, you're still a newbie, but once you get past that point, the growth path is very high and very rapid."
  • Career advice:
    • "Find your passion before you pursue a career. When you're passionate about something, you keep learning about it, therefore, you keep growing."

Episode Highlights

  • What is Data Science?
    Dr. Kruti explains the essence of data science, focusing on the importance of identifying meaningful patterns and causal relationships in data.
  • Breaking into Tech:
    Practical advice on overcoming math fears, revisiting basic concepts, and the importance of continuous learning for aspiring data scientists.
  • Industries and Roles:
    Insights into various industries benefiting from data science and the current boom in AI transformations.
  • Compensation in Data Science:
    Discussion on the typical pay rates for entry-level and mid-career data scientists, emphasizing the rapid growth potential in this field.
  • Career Advice:
    Encouragement to find passion in one’s career and the importance of taking risks and not being obsessed with perfection.

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