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4 дня назад

Data Scientist, Risk (Sports Betting)

116 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
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 Scientist, Risk (Sports Betting) (Sportsbook risk management): Building and deploying predictive machine learning models for pricing accuracy, betting limits, and customer profiling with an accent on Bayesian statistics, data preparation, and production-ready modeling. Focus on optimizing risk decisions with trading teams, creating dashboards and visualizations, and communicating model outputs across the business.

Location: Hybrid role based in Jersey City, New Jersey, United States.

Salary: $116,000–$145,000 USD annually, depending on experience, location, business needs, and market demand.

Company

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

What you will do

  • Develop, iterate, and deploy machine learning models for Sportsbook risk management.
  • Improve pricing techniques and work with trading teams to optimize betting limits and customer profiling.
  • Construct models, analyses, and solutions in response to stakeholder and colleague questions.
  • Manage data preparation from collection through cleaning and build robust predictive models using feature and model selection.
  • Contribute to a production code environment and communicate effectively with decision-makers across the company.
  • Create dashboards and data visualizations to support analysis and communicate insights.

Requirements

  • Minimum of 1 year of industry experience in data science, analytics, or engineering preferred.
  • Bachelor’s degree in a highly numerate major such as mathematics, statistics, or economics, or relevant data science experience preferred.
  • Strong analytical and quantitative skills with high proficiency in Python or R and SQL.
  • Understanding and application of Bayesian statistics.
  • Experience building and using models for production-level products and tools.
  • Comfort with command-line tools and GitHub.
  • Object-oriented design and coding skills.
  • Strong verbal and written communication skills.
  • Ability to work across teams, locations, and time zones.

Nice to have

  • Interest or experience in sports gaming and/or fantasy sports.

Culture & Benefits

  • Hybrid work arrangement in Jersey City.
  • Health plans, including fertility and family-planning programs, mental-health support, and fitness benefits.
  • Paid time off, sick leave, and 14 paid company holidays.
  • Annual bonus and potential long-term incentive compensation, including cash bonuses and stock program participation.
  • 401(k) with up to a 5% company match, commuter benefits, pet insurance, and insurance coverage options.
  • Equal-opportunity workplace with reasonable accommodations available for qualified individuals with disabilities.

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