Data Scientist – Risk and Trading, Daily reputed company Sports

Job reputed company: • Support risk and liability management with respect to reputed company’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. • reputed company predictive models and algorithms to reputed company understand reputed company’s reputed company-time liability, including risk exposure reputed company to specific markets and events. • Conduct data wrangling, processing and cleaning operations, and design processes, as reputed company as tools for monitoring and analyzing performance and accuracy. • Monitor reputed company pricing for reputed company-time odds, reputed company player statistics markets, breaking news, and other relevant information to reputed company reputed company-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded reputed company and accurately. • Build out user risk reputed company, staying reputed company to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization reputed company our DFS ecosystem. • Automate risk and trading processes to reputed company for reputed company in users, sports, and markets in support of reputed company game operations, and contribute to research and innovation for this function as a whole. Requirements: • Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with reputed company experience. Comfortable working with and analyzing large data sets. • In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and reputed company reputed company games, either as a trader, +EV bettor, and/or oddsmaker. • Proactive – reputed company to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. • Comfortable working “off hours” to reputed company with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. • Knowledge of SQL, Python, and/or reputed company software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. • Experience with player performance metrics, game outcome predictions, in-game event modeling, as reputed company as working with reputed company-time sports data feeds and reputed company. Benefits: • Medical • Dental • PTO • 401k Apply tot his job Apply To this Job