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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 FanDuel’s Sportsbook Commercial team with an accent on audience optimization, generosity mechanics, and statistical analysis. Focus on advancing cross-functional experimentation, automating analysis, applying advanced statistical techniques, and presenting insights to marketing leadership.

Location: New York City, United States; hybrid

Salary: $98,000–$122,000 USD per year, dependent on experience, location, business needs, and market demand.

Company

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

What you will do

  • Design and analyze experiments for personalization, audience optimization, generosity mechanics, and generosity delivery.
  • Compile results and present insights and recommendations to marketing leadership.
  • Advance a cross-functional experimentation program and evaluate tools, capabilities, and automation opportunities.
  • Apply advanced statistical techniques to data analysis and insight generation.
  • Promote experimentation best practices across the Sportsbook business.
  • Collaborate with 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.
  • Experience with experimental design, A/B/n testing, and statistical analysis.
  • Advanced SQL skills required.
  • Strong problem-solving, communication, stakeholder management, and commercial acumen.
  • Experience with Python, R, or SAS is preferred.

Nice to have

  • Master’s degree in a quantitative field.
  • Experience analyzing or experimenting with personalization efforts.

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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