JOSEPH DAVIN
joseph@josephdavin.com - (617) 910-0563 - https://www.linkedin.com/in/josephdavin
technical Fluent in R, SQL, HiveQL; Familiar with Python, SAS, PERL, VBA, Unix environments; CFA Level 1
experience
2017-present TWO SIX CAPITAL SAN FRANCISCO, CA
Head of Data Science
Developed and executed on data science approaches for advisory and co-invest opportunities in private equity
Forecast revenue growth and customer lifetime value based on customer-level transaction data of retail and
technology companies
Built predictive models (e.g., churn prediction, recommendation system) with machine learning in Python and
R
Recruited, trained, and managed a team of data scientists to support due diligence and value creation projects
Coordinated data engineers to roadmap and build data science infrastructure, tools, and processes
2015-2017 FACEBOOK MENLO PARK, CA
Quantitative Researcher, Marketing Science R&D
Led marketing research and product development in ads effectiveness and measurement
Developed machine learning models on experimental data; led engineers to build ads measurement products
Managed quantitative and methodological development of third party ads measurement solutions, including
digital and TV advertising measurement for online and offline sales
2014-2015 FACEBOOK MENLO PARK, CA
PhD Intern, Core Data Science; Researcher, Core Data Science
Built custom models of customer acquisition, churn, and engagement using regression models for Internet.org
Queried and visualized user network mobile behavior using Hive, R, and ggplot2
2007-2009 BARCLAYS BANK LONDON, UK
Associate, Strategy & Planning
Responsible for strategic planning for global consumer and business banking including industry analysis, market
sizing, financial modeling, economic review, and competitor analysis
Developed and stress-tested business cases for retail banking and consumer finance market entry
Researched and forecasted global banking revenues used in Board of Directors and investor presentations
Built and refined activity-based costing and customer profitability models for Barclays Commercial Bank
2007-2008 FAIR ISAAC CORPORATION SAN RAFAEL, CA
Analytic Scientist
Developed and validated mathematical models of risk, revenue, and loss for international banks
Developed predictive models in customer acquisition, risk assessment, direct mail revenue optimization for top
banks in the US, Canada, Latin America and China
Created core training material for technology transfer to international clients
education
2009-2015 HARVARD BUSINESS SCHOOL BOSTON, MA
Doctorate in Business Administration. Awarded HBS dissertation completion grant, 2014. Selected coursework:
Microeconomics, Econometrics, Probability Theory, Bayesian Statistics, Data Science
Doctoral Fellow: INFORMS Marketing Science Conference (2012), Yale Marketing-IO Conference (2011), Duke
Quantitative Marketing and Structural Econometrics Workshop (2010)
2006-2007 IMPERIAL COLLEGE LONDON, UK
Master in Business Administration. MBA Bursary Award; 2nd in the Imperial College Business Plan Competition.
2002-2004 UNIVERSITY OF CALIFORNIA, BERKELEY BERKELEY, CA
Master of Arts degree, in Biostatistics. Awarded Departmental Block Grant Award for academic performance.
1998-2001 UNIVERSITY OF CALIFORNIA, BERKELEY BERKELEY, CA
Bachelor of Arts degree, in Statistics.
publications Harvard Business School Case Study “BBVA Compass Bank: Marketing Resource Allocation”; Harvard Business
School Publishing Core Curriculum “Customer Management” & “Digital Marketing”; Working papers: “Peer
Influence in Mobile App Adoption”, “Zero Rating of Digital Media on Mobile Networks”
