Career Opportunities at

Theta Equity Partners

Data Scientist

Theta has been revolutionizing the world of private equity, corporate finance, and strategic management through Customer-Based Corporate Valuation (CBCV), an emerging, award-winning methodology for measuring and managing corporate valuation through quantitative models for customer behavior. We are growing quickly and developing new products that will greatly accelerate our efforts to democratize CBCV, making it much more accessible and impactful for an even broader set of companies.

We are looking to hire a new Data Scientist – ideally, a former student of Professor Fader’s MKTG 476/776 or Professor McCarthy’s MKTG 462/562 class with solid understanding of probability modeling fundamentals in general and CLV models in contractual and non-contractual settings in particular. In this role you will become an expert in CBCV – working with private equity firms, corporations, and other firms doing valuation work, building CLV models, discovering customer value insights, and translating model outputs into company valuation.

Skills we are looking for:

  • Solid understanding of CLV models in contractual and non-contractual settings (e.g., BTYD)

  • Experience in R

  • Basic knowledge of version control systems, e.g. Git

  • Ability to communicate effectively in a collaborative, technical environment

Preferred qualifications:

  • Strong performance in Professor Fader’s MKTG 476/776 or Professor McCarthy’s MKTG 462/562 class

  • Working knowledge of Unix/Linux

  • Experience with C++ or Python (specifically Django)

  • Basic understanding of accounting concepts and corporate finance

  • Experience presenting results of your analyses to internal or external clients

Location: San Francisco / New York or remote

 

If you are interested, send your resume to Nickhil Nabar – nickhil@thetaequity.com

 

Theta Equity Partners works with private equity / venture capital firms, hedge funds, and corporations, helping them better estimate company value and unit economics by predicting future customer behavior – acquisition, churn, spending.