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5 дней назад

Data Scientist (Sportsbook)

98 000 - 128 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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 Scientist (Sportsbook) (Machine Learning/AI): Developing customer segmentation, predictive models, and automated bonus spend optimization for Sportsbook with an accent on behavioral analysis, quantitative modeling, and revenue impact. Focus on building and deploying machine learning models, improving data pipelines, and communicating interpretable insights and recommendations to commercial stakeholders.

Location: New York City, hybrid

Salary: $98,000–$128,100 USD per year, 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 and Canada.

What you will do

  • Lead data science projects from definition of KPIs through delivery, progress tracking, and outcome reporting.
  • Build customer segmentation, predictive models, and automated bonus spend distribution solutions for Sportsbook.
  • Analyze customer behavior, promotional efficiency, and bonus spend effectiveness to identify revenue opportunities.
  • Use AI responsibly to accelerate analysis while managing output quality and model risk.
  • Create interpretable visualizations and explain insights, recommendations, methods, biases, and limitations.
  • Collaborate with Data Engineering, Analytics Engineering, CRM, Commercial leadership, and other stakeholders to improve data quality and strategic outcomes.

Requirements

  • New York City hybrid availability is required.
  • At least 1 year of data science experience and at least 1 year building and deploying complex machine learning models in real-world applications.
  • Strong quantitative analysis skills, including SQL and experience manipulating large datasets in Microsoft Excel.
  • Proficiency with statistical or programming tools and techniques, such as Python, R, C#, or VBA.
  • Ability to explain technical projects to non-technical stakeholders.
  • Undergraduate degree in a numerate or technical discipline.

Nice to have

  • Experience with Tableau or other data visualization tools.
  • Interest in sports.
  • Interest or experience in the sports betting industry.

Culture & Benefits

  • Curiosity, continual learning, independent decision-making, integrity, and accuracy are encouraged.
  • Medical, vision, dental, life, and disability insurance.
  • Paid personal time off, sick leave, and 14 paid company holidays.
  • 401(k) with up to a 5% company match, commuter benefits, pet insurance, fertility and family planning programs, mental health support, and fitness benefits.
  • Potential annual bonus and long-term incentive compensation based on performance.

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