обновлено 6 дней назад
Data Science Manager (iGaming)
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Manager (iGaming): Leading market origination for a daily fantasy sports platform by owning line-setting strategy, projection accuracy, and coverage expansion across major sports and esports with an accent on predictive modeling, market quality, and team leadership. Focus on developing projection models, measuring market health, and launching new fantasy markets through cross-functional collaboration with Product, Engineering, Pricing, and BizOps.
Location: Remote within the United States; Atlanta, Georgia preferred. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.
Salary: $160,000–$190,000 per year, depending on location, skills, experience, and education.
Company
is a daily fantasy sports platform covering major sports leagues and esports, including the NFL, NBA, MLB, League of Legends, and Counter-Strike.
What you will do
- Own line-setting strategy and projection accuracy for fantasy markets while balancing coverage breadth and competitive line quality.
- Lead, mentor, and grow a team of data scientists and analysts focused on market creation and prop origination.
- Oversee the development and deployment of projection models across major sports and esports.
- Partner with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage.
- Guide experimentation around line accuracy, prop selection, and coverage strategy.
- Maintain frameworks for projection accuracy, coverage quality, market health monitoring, data integrity, and modeling quality.
Requirements
- 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally involving line setting, trading, or player performance modeling.
- Strong foundation in data science, statistics, or software engineering.
- Demonstrated management experience leading, mentoring, and scaling high-output teams.
- Proficiency in SQL and Python or R, with experience in predictive modeling, forecasting, and statistical techniques.
- Deep understanding of player props and sports or esports market structure, origination, and modeling.
- Proven ability to drive complex projects from ideation through launch and communicate across data, product, and operations.
Culture & Benefits
- Inclusive workplace with a team of more than 550 employees.
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match and annual bonus.
- Flexible PTO, paid parental leave, and disability benefits.
- Workplace flexibility, modern schedules, company equipment, in-person events, and team outings.
- Annual performance reviews with career development opportunities.
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