15 часов назад
Data Scientist, Experimentation (iGaming)
98 000 - 122 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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