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Talentspace (349)

349: Principal Data Scientist

Technical Qualifications

 – Python

 – SQL

 – Java

 – Perl

 – AWS

 – Hive

 – Hadoop

 – Spark

 – Tableau

 – Keras

 – Tensorflow

 

Tennessee/Remote

Non-Technical Qualifications

 – Teams

 – Mentorships

 – Direct Reports

 

Candidate Details

Education: B.S. in Physics, M.S. in Astrophysics, Ph.D. in Astrophysics
Specialization(s): Machine Learning, Statistics, Geospatial Data, Demand Forecasting
Industries: Marketing (2 yrs), Higher Ed (3 yrs), Consulting (2 yrs), Logistics (3 yrs), Geospatial products (1 yr)
Desired Location(s): Tennessee/Remote
Role Interest: Permanent
Work Authorization: U.S. Citizen

Interviewer Notes

I found this candidate to be quite sharp, down to earth, and passionate about his work. Unlike some data scientists, he consistently keeps the big picture in mind – specifically in terms of a focus on the interpretability and applicability of his models for solving specific business problems. Throughout our interview he demonstrated a strong understanding of data science techniques, as well as an ability to succinctly explain these techniques in a way that would be clear for even a non-technical audience. He also expressed strong interest in the foundations and theory behind AI and machine learning.

If you are interested in this candidate or if you have unique talent needs, please contact Costa Mavroleon at costa.mavroleon@dataspace.com or at (734)761-5962 x504 for more information!