Sam Swift   PhD

Experienced data science leader and quantitative social scientist

CONTACT

samswift@gmail.com

412-334-2330

New York, NY  |  swift.pw

EXPERIENCE

Bowery Farming, New York — Data Science

2017 - PRESENT

Betterment, New York — Director of Analytics & Data Science

2014 - 2017

Led data science and analytics functions through 6x company growth

  • Hired for and built out independent analytics & data science function
  • Built company-wide reproducible knowledge repository as single source of truth
  • Managed data storage and strategy with data engineering partnership
  • Reported to management team and owned board-level interpretation of data

Implemented analytic and data science solutions across business functions, including Product, Marketing, and Finance.

Good Judgment Project, Wharton — Lead Data Scientist

2012 - 2014

Managed distributed team of developers, statisticians, and graduate students in university-based CIA-funded geopolitical forecasting tournament. Built and maintained data pipelines, developed algorithms which outperformed expert forecasts by 30%.

CM3 Consulting, Pittsburgh — Software Developer

2005 - 2007

Developed web-based decision support software for clients large and small

EDUCATION

Carnegie Mellon University PhD, Organizational Behavior

2007-2012

Used experimental and big-data approaches to answer questions about the psychology of economic decision making. Nine published papers in top management and psychology journals. My research has been covered in the Wall Street Journal, Financial Times, Los Angeles Times, Scientific American,  more

Carnegie Mellon University BS, Decision Science

2001-2004

TECHNICAL SKILLS

  • R
  • MySQL, PostgreSQL, Redshift
  • Python
  • Statistics & machine learning
  • Git & software development
  • Experimental design & inference
  • Database design

ACADEMIC EXPERTISE

  • Behavioral Economics
  • Crowd Wisdom, Forecasting
  • Managerial Decision Making
  • Negotiation
  • Overconfidence in Organizations

MODES OF TRAVEL

  • Land: Motorcycle, bicycle, running
  • Water: Sailing, motorboat, scuba
  • Air: ½ flight training completed