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