Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$116к-145к/год
$120к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
На СНГ рынке: $2.6к/мес ($1.5к - $3.5к)
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У роли понятный фокус на аналитической инженерии, много задач по моделированию данных и пайплайнам, а также хороший пакет льгот; сфера ставок может быть минусом, если вы не хотите работать с азартными продуктами.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (Sports Betting) (SQL/Python/Databricks): Building and optimizing data models, pipelines, dashboards, and modeled metrics for Sportsbook Generosity and Promotional Spend with an accent on large-scale data transformation, data quality, and predictive modeling support. Focus on optimizing query execution, developing behavioral features, managing AI-assisted analysis, and ensuring reliable metrics for business decisions.
Location: New York City; hybrid role
Salary: $116,000–$145,000 USD per year
Company
hirify.global Group is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, and sports media products across the United States, Canada, and other markets.
What you will do
Design, build, maintain, and improve data models, datasets, dashboards, and visualizations used by data scientists, analysts, and stakeholders.
Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification, and prediction models.
Manage and optimize data transformation jobs, modeled metric pipelines, query execution, prioritization, and code performance.
Develop behavioral features through exploratory analysis for segmentation, analysis, and predictive modeling.
Implement data quality checks and alerts, maintain business rules and code implementations, and ensure modeled metrics are fit for purpose.
Identify improvements to ingested data and new data needs while collaborating with Data Engineering and Data Product stakeholders.
Requirements
At least 3 years of experience in a similar role.
At least 2 years of experience building, maintaining, and optimizing complex data pipelines with real-world applications.
Advanced SQL coding skills and experience manipulating large datasets.
Proficiency in at least one programming language, such as Python, R, or C#.
Strong problem-solving ability and attention to detail.
Undergraduate degree in a coding-heavy or technical discipline.
Nice to have
Experience building data pipelines with Python and Databricks.
Experience with data visualization tools such as Tableau.
Interest in sports.
Culture & Benefits
Curiosity, continual learning, innovative problem-solving, and empowered decision-making are encouraged.
Health plans, fertility and family planning programs, mental health support, and fitness benefits.
Paid time off, sick leave, annual bonus, and long-term incentive opportunities based on performance.
401(k) with up to a 5% match, commuter benefits, pet insurance, and paid company holidays.
Reasonable workplace accommodations are available for qualified individuals with disabilities.
Hiring process
Accommodation support during the interview and onboarding process is available by contacting Benefits@hirify.global.com.
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