Sr. Staff Data Scientist – Ads Measurement, Signals, Privacy

About This Opportunity

Our talent team is representing a confidential social technology client in Canada seeking a Senior Staff Data Scientist to lead ads measurement, signal quality, and privacy-aware measurement systems. This is a high-impact role at the intersection of causal inference, experimentation, and advertiser measurement in a rapidly evolving privacy landscape.

You will define the scientific strategy for how our client proves advertiser value, evaluates signal quality, and builds next-generation measurement products. This role requires deep expertise in experimentation, attribution, identity systems, and the ability to influence senior cross-functional leaders across product, engineering, and business teams.

Responsibilities

• Define the long-term data science vision and strategy across ads measurement, signal quality, identity resolution, attribution, and privacy-safe measurement frameworks
• Build rigorous evaluation frameworks for validating lift studies, attribution models, identity quality, modeled conversions, and signal loss recovery systems
• Lead evolution of experimentation and causal inference methodologies including brand lift, conversion lift, split testing, and incrementality measurement at scale
• Quantify how signal quality, match rates, identity resolution, and privacy changes impact bidding efficiency, CPA, ROAS, and advertiser outcomes
• Partner with modeling and ranking teams to translate measurement improvements into performance gains and optimization outcomes
• Establish privacy-first measurement paradigms that recover signal utility through compliant modeling approaches
• Create reusable data science infrastructure including methodologies, dashboards, scorecards, quality metrics, and best practices adopted organization-wide
• Influence senior leadership across product, engineering, sales, marketing science, and privacy teams to shape roadmap decisions
• Mentor staff and senior data scientists, raising the bar for causal inference, measurement science, and cross-functional decision-making

What We're Looking For

Required:

• Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or related quantitative field, or equivalent industry experience
• 10+ years of industry experience in data science, applied science, economics, or quantitative roles
• Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization
• Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact
• Strong command of statistical modeling, experimental design, causal inference, and measurement methodology
• Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products
• Ability to balance long-term strategic vision with hands-on execution of complex technical work
• Advanced proficiency in SQL and Python or R
• Demonstrated ability to influence senior product, engineering, and business leaders through clear technical communication
• Experience mentoring senior individual contributors and improving technical standards across data science organizations
• Agility in adopting AI tools to amplify output and turn complex methodologies into working prototypes efficiently

Preferred:

• Experience with ads identity systems, conversion modeling, signal loss mitigation, match-rate optimization, or identity graph evaluation
• Background in lift measurement, brand lift, conversion lift, incrementality testing, marketing mix modeling, multi-touch attribution, or third-party measurement partnerships
• Experience with privacy-constrained measurement, clean rooms, aggregation techniques, consent-aware systems, or privacy-preserving modeling
• Partnership experience with ranking, bidding, or machine learning teams connecting measurement quality to optimization outcomes
• Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products
• Track record building durable internal frameworks, training programs, scorecards, or methodology standards adopted across organizations

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate submissions to our client. We manage the interview process and provide guidance throughout. Please do not contact the client directly—all communication flows through our talent team to ensure a professional, coordinated experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and welcomes candidates from all backgrounds. We provide reasonable accommodations for qualified individuals with disabilities throughout our recruitment process.