Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$116к-145к/год
$110к$140кмедиана$170к
По похожим ролям (40) ~ $140к/год
На СНГ рынке: $3.7к/мес ($1.2к - $5к)
78
Хорошая вакансия
развернуть
Чёткие задачи, работа с моделями для продакшена и широкий пакет льгот делают вакансию привлекательной, хотя сфера спортивных ставок подходит не всем.
Кликните для подробной информации
Ставки на спортМодели в продакшенеСовременный стекШирокий пакет льгот
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →