Senior Data Scientist

6 days ago

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Universal Tennis

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Tennis Ratings • College Tennis Recruitment • Player Development • Player Retention • Level Based Play

51 - 200

💰 Corporate Round on 2018-08

Description

• Why UTR Sports • UTR Sports is a Silicon Valley based tech and sports high growth company that is both remote-friendly and people-driven. • We are on a mission to revolutionize tennis and pickleball through technology and data. • UTR Sports’ UTR Rating is the gold standard and the world’s most accurate singles and doubles rating system. • Our vision is to unify racquet sports for everyone by bringing cutting edge analytics and community building technology to all players worldwide, regardless of level. • We are backed by impressive investors in sports, technology and media including Amazon, Roger Federer’s Team8, Novak Djokovic, Endeavor/IMG, Tennis Channel, Tennis Australia and Larry Ellison. • UTR Sports wants to work with people who are team-oriented and excellence focused. • The Opportunity • In this role, you will play a crucial part in extracting valuable insights from complex datasets, contributing to data-driven decision making processes, and driving innovation through advanced analytics techniques. • As a Senior Data Scientist reporting to the Head of Data Science, you will collaborate closely with cross-functional teams to develop models, algorithms, and predictive tools that will enhance our products and services. • The core responsibilities will focus on development of our key data science products, including our patented and gold-standard rating algorithms.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. • Proven experience (5+ years) working as a Data Scientist, solving real-world problems using data-driven approaches. • Strong programming skills in languages such as Python and R, with experience using relevant libraries (e.g., pandas, scikit-learn, matplotlib, seaborn, pyplot). • Ability to write complex SQL queries to extract and manipulate data from databases. • Working knowledge of ELO-like algorithms • Experience with cloud platforms (e.g., AWS, Azure). • Experience working with third-party platforms and APIs • Proficiency in data preprocessing, exploratory data analysis, data visualization, and feature engineering. • Experience with machine learning techniques including classification, regression, clustering. • Experience with Deep Learning modeling using TensorFlow or PyTorch • Excellent understanding of statistical concepts and hypothesis testing. • Expert problem-solving skills and ability to work in collaborative, cross-functional environments. • Strong written and verbal communication skills to convey technical findings to both technical and non-technical audiences. • Advanced skills with data visualization tools (e.g., Tableau, Power BI, etc.) to create meaningful visual representations of insights.

Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k) • Paid Time Off (Unlimited Vacation & Sick plus Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability and Life Insurance • Work From Home