4 дня назад
Data Science Manager (Sports Modeling)
149 000 - 186 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Manager (Sports Modeling): Developing and productionizing predictive sports models, pricing betting markets, and building dashboards and analytical tools with an accent on Bayesian statistics, model selection, and data preparation. Focus on managing data scientists, solving large-scale modeling problems, improving pricing techniques, and communicating insights to senior leaders and cross-functional stakeholders.
Location: Hybrid role in Jersey City, New Jersey, United States
Salary: $149,000–$186,000 USD per year, with potential bonus and stock incentives.
Company
is a mobile sports betting, iGaming, horse racing, daily fantasy sports, and sports media company operating across the United States, Canada, and additional international markets.
What you will do
- Develop, iterate, and productionize machine learning models that predict sports outcomes and support betting products.
- Improve market offerings and pricing techniques in partnership with risk, trading, and product teams.
- Manage and develop a group of data scientists delivering production-ready models and company-wide analytical solutions.
- Lead data preparation from collection through cleaning, feature and model selection, dashboards, and data visualizations.
- Partner with stakeholders to identify opportunities, understand business KPIs, and improve business results through data.
- Present findings to senior leaders, lead cross-team forums, and improve data science processes and automation.
Requirements
- At least 5 years of industry experience in data science, analytics, or engineering.
- Bachelor’s degree in mathematics, statistics, economics, or another highly numerate discipline, or equivalent relevant experience.
- Experience managing or mentoring data scientists or analysts.
- Strong analytical and quantitative skills with high proficiency in Python or R and SQL.
- Strong understanding and application of Bayesian statistics, production modeling, object-oriented coding, GitHub, and command-line tools.
- Ability to work across teams, locations, and time zones, including nontraditional hours when required.
Nice to have
- Interest or experience in sports gaming or fantasy sports.
Culture & Benefits
- Medical, vision, dental, life, and disability insurance.
- Paid personal time off, sick leave, and company holidays.
- 401(k) matching of up to 5%.
- Annual bonus and long-term incentive opportunities based on performance.
- Commuter benefits, pet insurance, fertility and family planning support, mental health programs, and fitness benefits.
- Equal opportunity workplace with reasonable accommodations available during hiring and onboarding.
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