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Senior Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Data Scientist (AI): Designing and implementing large-scale data-centric solutions and optimization algorithms for a programmatic advertising exchange with an accent on statistical modeling, feature generation, and production monitoring. Focus on developing automated decision-making systems, collaborating with ML engineers and architects, and improving real-time advertising optimization at internet scale.

Location: Toronto, Canada; in-office role

Company

hirify.global operates a global advertising supply-side platform that processes real-time programmatic auctions at internet scale.

What you will do

  • Translate business problems into scientific hypotheses and pragmatic development priorities.
  • Analyze large, complex datasets to improve programmatic exchange efficiency.
  • Design and implement data-centric solutions, including dataset segmentation, transformation, and feature generation.
  • Help design, develop, and improve algorithms for automated programmatic exchange optimization.
  • Design and drive production performance monitoring frameworks and KPIs.
  • Collaborate with ML engineers and architects on production-grade data solutions.

Requirements

  • Bachelor’s or master’s degree in mathematics, computer science, engineering, or an equivalent field.
  • 5+ years of experience in data science or machine learning environments combining statistical and technical skills.
  • Experience applying data science in operational and internet-scale environments.
  • Strong statistical and research skills, especially with classification, prediction, and time-series models.
  • Excellent Python development skills, including pandas, NumPy, and scikit-learn.
  • Ability to communicate complex results and collaborate across technical and cross-functional teams.

Nice to have

  • Knowledge of Scala.
  • Familiarity with digital marketing, advertising, or analytics.
  • Experience in complex systems engineering environments.
  • Experience with industry-scale platforms.

Culture & Benefits

  • Comprehensive health, dental, and vision coverage for employees and dependents.
  • Paid time off, health days, personal obligation days, and flexible work schedules.
  • Retirement matching, equity packages, and generous parental leave.
  • Well-being allowance, fitness discounts, wellness activities, commuter benefits, and an employee assistance program.
  • Continuous learning resources, monthly town halls, and community-led team events.
  • Inclusive workplace with volunteer time off and donation matching.

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