May 3, 2023
• Conduct data analysis and modeling to identify trends, patterns, and insights that can be used to improve our platform. • Develop predictive models and algorithms that can forecast outcomes for sports events and improve the accuracy of our predictions. • Work closely with the product and engineering teams to integrate models and algorithms into our platform. • Collaborate with other data scientists, analysts, and business stakeholders to ensure that our models and algorithms are accurate, reliable, and scalable. • Monitor the performance of our models and algorithms and continuously improve them based on feedback and new data.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. • Preferably at least 2-3 years of experience in data science, ideally in the sports gaming industry. • Passion for sports and sports gaming. • Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn. • Knowledge of SQL and experience working with databases and data warehouses. • Experience with machine learning algorithms and statistical models, including supervised and unsupervised learning, regression, classification, and clustering. • Strong problem-solving and analytical skills, with the ability to think creatively and outside the box. • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Top tier compensation + benefits package • Flexibility to work remotely • Opportunity for professional growth in a dynamic and international environment • Informal, friendly and knowledge-sharing environment • An interesting and challenging job that allows you to explore paths to creating successful software solutions • $60,000 - $100,000 a year
Apply NowDecember 22, 2022
🇺🇸 United States – Remote
💰 $5M Funding Round on 2021-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
April 20, 2021
2 - 10
Testify.ai seeks a Data Scientist to analyze trends and patterns from large data sets.