Career Opportunities at Theta

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. If you are excited about what we do, if you are a smart and motivated learner with solid fundamental data science skills, who is eager to become an expert in probability models, customer lifetime value (CLV), and CBCV, join our team! You will have a rare opportunity to learn these growing and increasingly important topics from the world-renowned experts in CLV and the authors of CBCV.


You will be working with private equity firms, corporations, and other firms doing valuation work, building best-in-class CLV models, discovering customer value insights, and translating model outputs into company valuation.


If you want to take a peek at what probability models and our work are about, here are a few introductory and more advanced resources:


Introduction to probability models


Foundations of Customer-Based Corporate Valuation (advanced)


Practical applications of Customer-Based Corporate Valuation

Basic qualifications

  • Bachelor's Degree

  • Undergraduate/graduate research experience in math, statistics, quantitative finance, or computer science

  • Experience in machine learning and statistical models

  • Professional experience in R

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

  • Ability to communicate effectively in a collaborative, technical environment

Preferred qualifications

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

  • Working knowledge of Unix/Linux

  • Solid understanding of CLV models in contractual and non-contractual settings (e.g., BTYD) is a plus, but not required

  • Professor Fader’s MKTG 476/776 or Professor McCarthy’s MKTG 462/562 class is a plus, but not required

Location: San Francisco / New York or remote