Senior Data Scientist (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AdTech): Guiding the technology strategy for machine learning and optimization to increase programmatic efficiency with an accent on applied data science and optimization at industry scale. Focus on designing complex data-centric solutions, improving algorithms for automated decision making, and building production performance monitoring frameworks.
Location: Toronto, Canada (Hybrid: Office attendance required Tuesdays, Wednesdays, and Thursdays)
Company
is a global advertising supply-side platform that empowers media owners and marketers within a programmatic, privacy-first ecosystem.
What you will do
- Translate business vision and market opportunities into scientific hypotheses to guide development focus.
- Analyze large, complex datasets using statistical and database skills to improve programmatic efficiency.
- Design and implement data-centric solutions, including large-scale segmentation, transformation, and feature generation.
- Develop and optimize algorithms for automated decision-making in programmatic exchange optimization.
- Create and drive implementation of production performance monitoring frameworks and KPIs.
- Collaborate with ML engineers and architects to deploy production-grade data solutions.
Requirements
- Must be based in Toronto, Canada (working from the office on Tuesdays, Wednesdays, and Thursdays).
- 5+ years of experience in applied data science or machine learning environments at internet scale.
- Bachelors or Masters degree in Mathematics, Computer Science, Engineering, or equivalent.
- Strong expertise in statistical methods, specifically classification, prediction, and time series models.
- Advanced development skills in Python, specifically with pandas, numpy, and SciKit.
- Proven ability to articulate complex technical results to a wide technological audience.
Nice to have
- Knowledge of Scala.
- Familiarity with digital marketing, advertising, or analytics.
- Work experience in complex system engineering environments.
Culture & Benefits
- Comprehensive health, dental, and vision plans for employees and dependents.
- Competitive retirement matching plans and equity packages.
- Generous parental leave and annual well-being allowance.
- Paid time off, health days, personal obligation days, and flexible work schedules.
- Continuous learning resources and regular community-led team events.
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 →