About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist II - Ads Optimization based in Canada.
Responsibilities
- Own the analytics and experimentation strategy for pacing, targeting, budget allocation, and related advertising optimization areas.
- Design and develop intelligent pacing algorithms and budget allocation systems using adaptive control, model-predictive control, and related optimization techniques.
- Lead end-to-end experimentation across optimization systems, including experiment design, measurement, signal diagnosis, interpretation, and translation of results into actionable recommendations.
- Apply causal inference, statistical modeling, and machine learning techniques to optimize how advertising spend is distributed.
- Balance advertiser objectives, user experience, platform efficiency, and revenue considerations.
- Partner closely with Product, Engineering, Machine Learning, Data Science, and Analytics teams.
- Present complex analytical findings and strategic recommendations to senior stakeholders.
- Act as a technical anchor and thought leader within the Ads Optimization space.
- Collaborate with Ads Product and Sales teams.
Requirements
- 6+ years of professional experience in data science or a related quantitative field.
- Hands-on experience with advertising systems such as pacing, targeting, bidding, budget allocation.
- Strong foundation in product and data analytics, A/B experimentation, causal inference, statistical modeling.
- Demonstrated experience shipping optimization systems into production.
- Strong understanding of experimentation and statistical analysis in high-scale production environments.
- Excellent communication skills.
- Strong cross-functional collaboration skills.
- Experience working directly with advertising product teams, sales teams, or advertisers is a plus.
- Background in budget-constrained allocation, adaptive control, model-predictive control is desirable.
Conditions
- Canadian base salary of $192,000–$202,500 CAD for eligible candidates.
- Eligibility for a new-hire equity grant and annual equity refresh grants.
- Market-competitive compensation and benefits based on work location.
- Remote-first flexibility, available only to candidates permanently located in Ontario, Alberta, British Columbia, or Nova Scotia.
- Comprehensive benefits.
- Flexibility to work from home, an office, or another suitable location under a Flex First working model.