Data Science & Analytics Leader | Machine Learning & AI Strategist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lomonosov Moscow State University (MSU)
MS, Applied Mathematics, Computer Science
N/A – Present
Lomonosov Moscow State University (MSU)
PhD, Discrete Mathematics and Cybernetics
N/A – Present
Current
Lead Data Scientist
February 1, 2025 – Present
New York, New York, United States
Moneyjet
Principal Data Scientist
February 1, 2024 – September 1, 2024
New York, New York
owl.co
Staff Data Scientist
December 1, 2022 – October 1, 2023
New York, United States
DailyPay, Inc.
Staff Data Scientist
January 1, 2022 – November 1, 2022
DailyPay, Inc.
Director of Data Science
May 1, 2021 – January 1, 2022
DailyPay, Inc.
Lead Data Scientist
August 1, 2019 – May 1, 2021
American Express
Sr. Manager, Data Science and Machine Learning Research
August 1, 2017 – August 1, 2019
New York
Merck
Senior Scientist
November 1, 2012 – August 1, 2017
West Point, Pennsylvania
University of Pennsylvania
Postdoctoral Researcher
August 1, 2011 – November 1, 2012
American Express and Harvard Certificate in Leadership Excellence
American Express and Harvard Business School Publishing
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and a long career trajectory in data science, indicating a commitment to the field. The transition from 'Data Scientist' to 'Data Analyst' as a target role might indicate a shift in focus or a desire for a more specialized role. The lack of project details makes it difficult to assess diversity of experience or specific cultural alignment beyond the general data science domain.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles within data science suggests strong soft skills such as leadership, team collaboration, and strategic thinking. However, without specific project descriptions or interview data, it is difficult to assess operational fit beyond the role titles.