Data Science Student gaining meaningful experience and mentorship at Suncor, focused on energy production and community impact.
About the role
- Senior Data Scientist leading experimentation and optimization in Unity’s global advertising ecosystem. Bridging statistical methodology with engineering for high-velocity innovation.
Responsibilities
- Lead the implementation of variance reduction (CUPED) and sequential testing to increase platform sensitivity and speed.
- Architect and deploy interleaving frameworks to rapidly assess ranking model performance in real-time.
- Design methodologies to account for finite advertiser budgets and prevent experimental groups from cannibalizing each other's spend.
- Research and validate surrogate metrics that correlate highly with long-term user retention and value.
- Build the statistical foundations for automated pipelines that autonomously test and select optimal features and hyperparameters.
- Serve as the lead subject matter expert on experimentation for ML, Product, and Engineering teams.
Requirements
- 8+ years of experience in Data Science or Applied Research, specifically within Ad Tech, Marketplaces, or high-scale experimentation platforms.
- An MS or PhD in a quantitative field (Statistics, Economics, Computer Science, Operations Research, or equivalent).
- Deep expertise in causal inference, experimental design, and frequentist/Bayesian statistics, with a proven track record of applying these to high-volume, real-time data.
- Strong programming skills in Python or Scala, and experience with large-scale data processing frameworks like Spark, Snowflake, or BigQuery.
- Practical experience implementing advanced testing methodologies like CUPED, interleaving, or switchback testing in production environments.
- Ability to translate complex statistical concepts into clear product roadmaps and mentor engineering teams on experimental rigor.
Benefits
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
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