Unfortunately, this job posting is expired.
Don't worry, we can still help! Below, please find related information to help you with your job search.
Some similar recruitments
Php Developer (Entry Level)
Recruited by Pattern Learning AI - Career & Tech Recruitment Reimagined! 7 months ago Address Los Angeles, CA, United States
Data Scientist (Entry Level) - Us
Recruited by Pattern Learning AI - Career & Tech Recruitment Reimagined! 8 months ago Address Los Angeles, CA, United States
Data Scientist (Entry Level)- Us/Canada
Recruited by Pattern Learning AI - Career & Tech Recruitment Reimagined! 8 months ago Address Los Angeles, CA, United States
Data Scientist (Entry Level)
Recruited by Pattern Learning AI - Career & Tech Recruitment Reimagined! 8 months ago Address Los Angeles, CA, United States
Data Scientist (Entry Level) - Us/Canada
Recruited by Pattern Learning AI - Career & Tech Recruitment Reimagined! 8 months ago Address Los Angeles, CA, United States
Mid-Level Designer Jobs
Recruited by Mangan Inc. 8 months ago Address Long Beach, CA, United States
Senior Sharepoint Developer Jobs
Recruited by Kelly Science, Engineering, Technology & Telecom 8 months ago Address Los Angeles, CA, United States
Qa Selenium Tester (Entry Level)
Recruited by TEKtalent-Inc 8 months ago Address San Francisco Bay Area, United States
Java Ui Developer (Entry Level)
Recruited by TEKtalent-Inc 8 months ago Address San Francisco Bay Area, United States
Php Developer - Sunnyvale, Ca (Hybrid 2Days/Week) - W2 Only
Recruited by Dice 8 months ago Address Sunnyvale, CA, United States
Welder Trainee (Mid-Level) Jobs
Recruited by National Steel and Shipbuilding Com 8 months ago Address , San Diego, 92113 $17.52 - $25.34 an hour
Cybersecurity Analyst, Mid Jobs
Recruited by Booz Allen Hamilton 8 months ago Address , San Diego, 92108 $58,300 - $133,000 a year
Php Developer Jobs
Recruited by SalesDriver 9 months ago Address Pasadena, CA, United States
Qa Selenium Tester (Entry Level)
Recruited by TEKtalent-Inc 9 months ago Address San Francisco County, CA, United States
Data Scientist, Sponsored Products (Level 5), Sp Market Intelligence
Recruited by Amazon 9 months ago Address Santa Monica, CA, United States
Mid-Level Data Analyst Jobs
Recruited by Patterned Learning AI 9 months ago Address San Francisco, CA, United States
Mid-Level Data Bi Analyst
Recruited by Patterned Learning AI 9 months ago Address San Francisco, CA, United States
Mid-Level Biologist Jobs
Recruited by Sunset Ecological Solutions 9 months ago Address San Francisco Bay Area, United States
Sharepoint Developer Jobs
Recruited by Pride Resource Partners 9 months ago Address San Diego, CA, United States
Mid-Level Game Designer Jobs
Recruited by Second Dinner 9 months ago Address Irvine, CA, United States

Data Scientist, Mid Level

Company

Universal Tennis

Address Palo Alto, CA, United States
Employment type FULL_TIME
Salary
Category Technology, Information and Internet
Expires 2023-09-22
Posted at 8 months ago
Job Description
Why Universal Tennis


Universal Tennis 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. Universal Tennis’s 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


Universal Tennis wants to work with people who are team-oriented and excellence focused


To learn more watch this video: Watch This Video and visit www.universaltennis.com


The Opportunity


Universal Tennis is building innovative, cutting-edge technology products and services to help empower and enhance every part of the tennis (and more recently pickleball) ecosystem (players, coaches, clubs, organizers, federations, etc.). 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 Mid-Level Data Scientist, you will collaborate closely with cross-functional teams to develop models, algorithms, and predictive tools that will enhance our products and services. The core duties will focus on development of our key data science products including our rating algorithms.


What You Will Do


  • Communicate complex findings and technical concepts to non-technical stakeholders in a clear and understandable manner
  • Design, develop, and implement machine learning models and algorithms for predictive and prescriptive analytics
  • Implement product data science to drive revenue growth and engagement on our web and mobile platforms
  • Work on feature engineering and selection to improve model performance and interpretability
  • Utilize advanced data analysis and modeling techniques to extract actionable insights from diverse datasets
  • Collaborate with software engineers to deploy models into production systems and monitor their performance


Requirements


What you Need to be Successful


Must have:


  • Solid understanding of statistical concepts and hypothesis testing
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • Experience with cloud platforms (e.g., AWS, Azure)
  • Strong programming skills in languages such as Python or R, with experience using relevant libraries (e.g., pandas, scikit-learn)
  • Proven experience (2+ years) working as a Data Scientist, solving real-world problems using data-driven approaches
  • Effective communication skills to convey technical findings to both technical and non-technical audiences
  • Proficiency in data preprocessing, exploratory data analysis, data visualization, and feature engineering
  • Ability to write complex SQL queries to extract and manipulate data from databases
  • Experience with machine learning techniques including classification, regression, clustering
  • Excellent problem-solving skills and ability to work in a collaborative, cross-functional environment
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.) to create meaningful visual representations of insights


Good to have:


  • Experience with Deep Learning modeling using TensorFlow or PyTorch
  • C# experience and Azure ML experience strongly preferred
  • Working knowledge of ELO-like algorithms


Benefits


What we Offer:


A reasonable estimate of the current base salary range is $90,000 to $115,000 plus an equity compensation package. The final base salary for this role will take into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets, experience and training and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic location differential associated with where the position will be filled.


Universal Tennis is headquartered in Palo Alto, CA but this position is fully remote, US-based. In addition to salary and equity compensation, we offer flexible working hours and generous PTO. Our other benefits include:


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


We are an equal opportunity employer and we value diversity. We are committed to an inclusive environment. All candidates will be considered on the basis of qualifications, merit and business needs without regard to race, color, religion, national origin, age, non-qualifying mental or physical disability, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.