Data Scientist

Universal Tennis is hiring for a Data Scientist -- please share with anyone who might be interested!

Universal Tennis is on a mission to make tennis more affordable, accessible and fun. Our proprietary Universal Tennis Rating (UTR) is the premier global rating system in tennis. The algorithm analyzes match results from more than a million players in 200+ countries to give each player an accurate rating. We are focused on bringing the tennis community closer together and seek to offer solutions for players of any skill level all over the world. Come to our website to learn more at www.myutr.com!

You’ll be joining the larger data science and analytics team responsible for building our rating algorithms, player performance stats, and key performance indicators for our business. The ideal candidate is analytical, curious and detail oriented. This will be a cross-functional role with exposure to several aspects of the business: data science, sales, marketing, etc.

What you’ll be doing:

• Expanding the reach and predictive power of the UTR algorithm

• Analyzing historical trends to predict player performance

• Support an exciting stand-alone pro tennis analytics product -- operated and managed by data science team
  
• Custom reporting and analytics for sales, and marketing teams

• Proactively developing techniques to assist in ongoing fraud monitoring

• Continuously improve data quality as well as other testing and QA support

• Daily monitoring and tracking of the UTR Algorithms

• Cleaning and wrangling large datasets to extract meaningful and accurate insights

Requirements

• Bachelors or Masters degree in a quantitative field such as: mathematics, statistics, computer science, and/or economics

• 2+ years of work experience on a data science team

• Leadership: own projects A to Z, think critically, and move quickly in our fast-paced startup culture

• Excellent understanding of underlying statistical reasoning of frequentist vs Bayesian methods, as well as linear and logistic regression. Basic understanding of underlying assumptions of machine learning techniques (KNN, SVM, Decision Tree, Random Forest, etc...)
  

• Proficient in SQL
  
• Ability to provide clear explanations of technical concepts to groups with varying technical understanding
• Experience with tools like Looker, Tableau, or Periscope/Sisense a plus

• Proficient in Python: pandas, sklearn, scipy, matplotlib, seaborn, networkx

• Experience building Python applications (Flask/Django) a plus

• Passionate about tennis and sports analytics is a plus

Benefits

The company is headquartered in Palo Alto, CA but this position can be remote. We are offering a competitive salary, flexible working hours, unlimited vacation days, telecommuting, medical and dental, and a bunch of that other fun stuff that you’d expect from a tech start-up.