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AI/ML@Workday
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google Scholar Profile: https://scholar.google.com/citations?user=Qg_a5lYAAAAJ&hl=en&oi=ao ResearchGate page: https://www.researchgate.net/profile/Montiago_Labute
University of California, Davis
PhD, Physics
January 1, 1997 – January 1, 2002
Workday
Manager, Advanced Research and Technology
June 1, 2022 – Present
Workday
Principal Machine Learning Engineer
September 1, 2015 – June 1, 2022
Cray Inc.
Senior Data Scientist
December 1, 2014 – September 1, 2015
Lawrence Livermore National Laboratory
Applied Statistician
September 1, 2012 – December 1, 2014
YarcData
Semantic Web Data Scientist
September 1, 2011 – September 1, 2012
Lawrence Livermore National Laboratory
Engineer/Statistician
August 1, 2010 – September 1, 2011
Archimedes
Scientist III, Head of Cardiovascular Systems Modeling
May 1, 2007 – August 1, 2010
Los Alamos National Laboratory
Technical Staff Member
November 1, 2005 – May 1, 2007
Los Alamos National Laboratory
Postdoctoral Research Associate
September 1, 2002 – November 1, 2005
Cultural Fit Analysis
The candidate's diverse background, spanning academic research, national laboratories, and industry (including startups and large corporations), indicates adaptability and a broad perspective. Their experience in various domains like finance, healthcare, and high-performance computing suggests an ability to integrate into different organizational cultures and tackle varied challenges. The long tenure at Workday (7+ years) also points to loyalty and commitment. However, the target role of 'Data Analyst' might be a step down from their 'Principal Machine Learning Engineer' and 'Manager' roles, which could be a cultural fit consideration regarding career progression and expectations.
Soft Skills & Operational Fit
The candidate's experience as a Manager and Principal Machine Learning Engineer at Workday, along with leadership roles at Los Alamos National Laboratory and Archimedes, suggests strong leadership, project management, and communication skills. Their work on customer engagement models and presenting results to customers indicates good interpersonal and presentation abilities. The depth of their research and problem-solving experience points to strong analytical and critical thinking skills.