Назад
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15 часов назад

Data Scientist, Experimentation (iGaming)

98 000 - 122 000$
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, Experimentation (iGaming): Designing and analyzing personalization experiments for Sportsbook retention and loyalty with an accent on experimental design, A/B/n testing, statistical analysis, and advanced SQL. Focus on advancing a cross-functional experimentation program, automating analysis, and presenting actionable recommendations to commercial marketing leadership.

Location: Hybrid in New York City, United States

Salary: $98,000–$122,000 per year, plus potential incentive compensation.

Company

hirify.global is a mobile gaming company operating Sportsbook, Casino, Racing, daily fantasy sports, and streaming entertainment products across the United States, Canada, and other markets.

What you will do

  • Design and analyze personalization experiments for audience optimization, generosity mechanics, and generosity delivery.
  • Compile experiment results and present insights and recommendations to marketing leadership.
  • Advance a cross-functional experimentation program, including evaluating tools, capabilities, and automation opportunities.
  • Apply advanced statistical techniques to generate business insights.
  • Promote experimentation best practices across the Sportsbook organization through education and enablement initiatives.
  • Collaborate with retention marketing, commercial stakeholders, marketing technology, generosity data science, and machine learning engineering.

Requirements

  • At least 1 year of experience in data science or analytics.
  • Bachelor’s degree in mathematics, statistics, economics, engineering, or another quantitative field preferred; a master’s degree is a plus.
  • Experience with experimental design, A/B/n testing, and statistical analysis.
  • Advanced SQL skills required.
  • Strong problem-solving skills and the ability to work through ambiguity and solve business problems.
  • Commercial acumen, clear stakeholder communication, and the ability to work cross-functionally.

Nice to have

  • Experience analyzing or running experiments for personalization initiatives.
  • Experience with Python, R, or SAS.

Culture & Benefits

  • 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.
  • 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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