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2 дня назад

Data Scientist (Adtech)

90 000 - 120 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Adtech): Developing optimization strategies for a real-time ad marketplace with an accent on traffic shaping algorithms and bidding behaviors. Focus on building PoC ML models, deploying them to production, and optimizing outcomes for publishers and DSPs.

Location: New York, New York, United States

Salary: $90,000 - $120,000 USD

Company

hirify.global is an advertising platform that helps publishers and brands maximize performance through smart targeting and innovative ad formats.

What you will do

  • Conduct research and experiments to improve the performance of traffic shaping algorithms.
  • Build proof-of-concept ML models and drive them through to full-scale production.
  • Collaborate with Product and Engineering teams to support and influence product strategies via analytics.
  • Monitor statistical modeling performance using dashboards and alerts (Prometheus, Grafana, Looker).
  • Develop reusable modules and data structures to optimize internal data science workflows.

Requirements

  • Bachelor’s degree or higher in Mathematics, Computer Science, Engineering, or a related quantitative field.
  • 2+ years of work experience in Data Science or Machine Learning.
  • Solid software engineering fundamentals, including version control, testing, and writing production-ready code.
  • Must be based in New York, NY.
  • Excellent technical communication and analytical problem-solving skills.

Nice to have

  • Experience with Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake, and Airflow.
  • Proficiency with scikit-learn for data analysis and model prototyping.

Culture & Benefits

  • Comprehensive Medical, Dental, and Vision plans.
  • 401k plan with employer match.
  • Open and flexible Paid Time Off (PTO) policy.
  • Positive, collaborative, and compassionate team environment.

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