Tech Talent Vault

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VP Data Science

Yury Grinberg

Yury Grinberg
Willing To Relocate Anywhere in the United States
Base ID: 70429

Education

Ph.D., Managerial Economics and Strategy, Northwestern University

B.A., Economics, Wayne State University, Detroit

Professional Experience

  • 11+ years of IT Experience
  • Director of Central Algorithms, Economics, and Science Executive with years of experience in e-commerce, U.S. federal government, and academics.
  • Building and leading successful data science, economics, and machine learning teams, working both with experimental and with observational/real-world data
  • Led a team of twenty data scientists, economists, engineers, and machine learning scientists, analyzing the effectiveness of Amazon’s worldwide marketing spend.
  • VP of Data Science with a Data Science Certificate.

Previous Company

Amazon

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Chief Data Scientist

Erica Mackeson

Erica Mackeson
Willing To Relocate Anywhere in the United States
Base ID: 54983

Education

Exec MS Technology, Penn State University

Professional Experience

  • Data Science professional with 30 + years of experience in data mining and analytics projects in Risk Modeling, and Profiling and Segmentation analysis
  • A Chief Data Scientist highly experienced in Logistics Modeling Credit Scoring, Fraud Detection, Operations Research, Forecasting, and Optimizations.
  • Multiple Awards for Process Improvements and Projects as Lead Role.
  • Big Data Team Lead for all forecasting activities and evaluation of customers and operational needs.

Previous Company

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Data & Applied Scientist II

Ronald Thanh

Ronald Thanh
Kansas City, Missouri - United States
Base ID: 58895

Education

Bachelor of Science in Mathematics/Actuarial Science, Business Minor – University of Texas 

Professional Experience

  • +5 years of professional IT experience as an Applied Data Scientist.
  • Design and implement predictive and prescriptive models to enhance ads monetization $5M+ annually through data regression, rule-based system, and forecasting techniques
  • Consult and construct $10M+ business solutions to help drive product and ad monetization strategy across Microsoft publisher properties from engineering conception to product/feature shipment.
  • Scope and conduct monetization experiments and simulations through A/B and multivariate testing to inform and optimize revenue strategy

Previous Experience

Microsoft

Certificates

P Exam/1, FM Exam/2, MFE Exam/3, MLC Exam/4

 

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DevOps Data Engineer / Programmer DevOps Data Engineer / Programmer

Patrick Holmes

Patrick Holmes
Willing To Relocate Anywhere in the United States
Base ID: 1721

Education

Master of Science, Statistics – New York University

Professional Experience

  • Big Data expert with extensive software engineering and data scientist skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured, and unstructured data.
  • A Senior DevOps Engineer who is able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration using predictive analytics is another area that he thrives in.
  • A Data Science professional experienced in Spark, Scala, and Java are tools that he primarily used to gain insight into our data as well as leverage it.
  • Using Spark to process large data sets, Kafka, and AWS to Stream data as well as to get real-time analytics.

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Data Scientist

Adrian Bailay

Adrian Bailay
Willing To Relocate Anywhere in the United States
Base ID: CH6701

Education

2011- Master of Science in Computer Systems Engineering – Northeastern University

2005- Bachelor of Science in Mathematics University of Huston

Professional Summary

  • 8+ years of experience as a tech professional in data science/machine learning, driving insights from complex data, forecasting, predictive and explanatory analysis, modeling and simulation, optimization, coding in open source programming language.
  • Data Science professional who pioneered technology transformation and optimization projects in multiple companies.
  • Data Scientist skilled in Python, R, SQL, Linux, Big Data, NPL, Analytical Models, Database Architecture, ML, Power BI, and IBM Cognos

Previous Company

Certificates

MLC Exam/4

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Data Science Vice President

Jonathan Lewis

Jonathan Lewis
Willing To Relocate Anywhere in the United States
Base ID: 46111

Education

2019 – Technical Leader Program | Carlson Executive Education

2010 – Masters | Healthcare Administration | University of Minnesota

2007 – Bachelor of Arts | Philosophy and Great Ideas | Carthage College

Professional Summary

  • A Data Science Vice President with 11+ years in the market.
  • Created a world-class data science team and expanded it globally to 23 people 
  • Generated $17M in cost savings by improving adherence machine learning models in 2018 
  • Led 2019 Medicare Data Science strategic planning and identified key areas of focus that would differentiate UnitedHealthcare from competitors 
  • Founded the Machine Learning Center of Excellence to identify emerging trends and create best practices for machine learning throughout the enterprise  
  • Established end-to-end machine learning processes for model creation, validation, design, and deployment, reducing model completion times by 42%

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