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Talentspace (352)

352: Senior Machine Learning Engineer

Technical Qualifications

 – Python

 – R

 – SQL

 – NoSQL

 – Tableau

 – Splunk

 – PowerBI

 – TensorFlow

 – Keras

 – AWS

 – Azure

 

Wisconsin

Non-Technical Qualifications

 – Small teams

 – Mentorships

Candidate Details

Current Status: Accepted a role as Director of Data Science
Education: B.S. in Accounting, Masters of Business Administration, M.S. in Data Administration
Specialization(s): Machine Learning, Statistical Methods, Demand Forecasting
Industries: Financial (7 yrs), Consulting (7 yrs), IT Management (2 yrs), Retail (4 yrs)
Desired Location(s): Wisconsin
Role Interest: Permanent
Work Authorization: U.S. Citizen

Interviewer Notes

At the time of our interview, this candidate was involved in a number of exciting data science project projects (including automating API calls, running ML models with automation in the background, and anomaly detection on websites) as a member of the AI Operations team. He mentioned that over time he has been able to shape his own role at the company, emerging as a de-facto leader and an important point of contact for other managers, senior executives, and teams across the company, all of whom come to him with data science needs. I got the impression that this candidate possesses an ability to self direct and work independently as well as to reach out to other departments to collaborate and strategize with them.

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!