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Data Science Manager (Sports Modeling)

149 000 - 186 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Australia +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science Manager (Sports Modeling): Building production machine learning models, pricing betting markets, and creating sports analytics tools and dashboards with an accent on predictive modeling, Bayesian statistics, and data preparation. Focus on managing data scientists, optimizing model pricing with risk and trading teams, and translating complex analyses into actionable business insights.

Location: Jersey City, New Jersey, United States; hybrid work

Salary: $149,000–$186,000 USD per year, depending on experience, location, business needs, and market demand.

Company

hirify.global Group is a mobile gaming and sports betting company operating sportsbook, casino, horse racing, daily fantasy sports, and sports media products across the United States, Canada, and other markets.

What you will do

  • Develop, iterate, and deploy machine learning models that predict sports outcomes and support betting products.
  • Improve pricing techniques and optimize predictive and derivative model pricing with risk and trading teams.
  • Manage and develop a group of data scientists working on production-ready models and company-wide challenges.
  • Lead data preparation from collection through cleaning and build robust predictive models using feature and model selection.
  • Create dashboards, data visualizations, analyses, and solutions for stakeholders and senior leaders.
  • Set project plans, lead cross-team forums, identify inefficiencies, and communicate key decisions across the organization.

Requirements

  • At least 5 years of industry experience in data science, analytics, or engineering preferred.
  • Bachelor’s degree in mathematics, statistics, economics, or another highly numerate field, or equivalent data science 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 of Bayesian statistics, production modeling, object-oriented coding, command-line tools, and GitHub.
  • Ability to work across teams, locations, and time zones, including nontraditional hours when needed.

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 14 paid 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 programs, mental health support, and fitness benefits.

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