Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.
Data Scientist quantifying credit risk and developing models at Desjardins Group in Montréal. Leading projects and providing expertise in credit risk management and quantification.
Construction Manager overseeing various data center construction projects in Canada. Responsible for execution plans, monitoring progress, and managing labor relations.