Senior Data Scientist II - Ads Optimization

Lever, Inc.; Nova Scotia; Remote; CAD 192,000 - 203,000; Full time

Benefits offered by this job

Equity grant

Annual equity refresh

Remote-first with provincial equity

Comprehensive benefits

Flex First working model

In-person team events

Job summary

Lever, Inc. in Canada seeks a Senior Data Scientist II - Ads Optimization to lead analytics, experimentation, and optimization for a large-scale advertising platform. You will partner with Product, Engineering, ML, Data Science, and Sales to translate research into production.

This role emphasizes causal inference, high-throughput systems, and mentoring teammates, while balancing advertiser outcomes, user experience, and revenue goals. Remote-first with provincial eligibility.

Qualifications

• 6+ years of experience in data science or related field.
• Proven experience shipping optimization systems to production.
• Experience with A/B experimentation and causal inference.
• Strong communication and ability to influence stakeholders.

Responsibilities

• Own analytics and experimentation strategy for pacing, targeting, and budget allocation.
• Design and develop pacing and budget optimization algorithms for high-throughput environments.
• Lead end-to-end experimentation and translate results into recommendations.
• Apply causal inference and statistical modeling to optimize ad spend.
• Collaborate with Product, Engineering, Data Science, and Sales teams.
• Present findings to senior stakeholders.
• Mentor other data scientists and set analytical standards.
• Gather advertiser feedback to inform optimization priorities.

Skills

Advertising optimization

Experimentation

Causal inference

Statistical modeling

Cross-functional collaboration

Communication to stakeholders

Job description

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 .

This is a senior data science role focused on optimizing a large-scale advertising business through experimentation, analytics, economics, and algorithmic decision-making. You will help shape how advertising demand and supply interact across bidding, pacing, targeting, budgeting, and related optimization systems. Your work will directly influence advertiser outcomes, platform efficiency, user experience, and revenue performance. You will partner closely with Product, Engineering, Machine Learning, Data Science, and Sales teams to move ideas from research and modeling into production. The role combines rigorous experimentation and causal analysis with hands-on development of optimization systems operating in high-throughput environments. It also offers the opportunity to serve as a technical thought leader and mentor while influencing the strategic direction of ads optimization.

Accountabilities:

• Own the analytics and experimentation strategy for pacing, targeting, budget allocation, and related advertising optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency.
• Design and develop intelligent pacing algorithms and budget allocation systems using adaptive control, model-predictive control, and related optimization techniques for high-throughput production environments.
• 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 across time and auction opportunities.
• Balance advertiser objectives, user experience, platform efficiency, and revenue considerations when developing and evaluating optimization strategies.
• Partner closely with Product, Engineering, Machine Learning, Data Science, and Analytics teams to take concepts from problem framing and research through production deployment, measurement, and iteration.
• Present complex analytical findings, experiment results, and strategic recommendations clearly to senior Product, Engineering, and Data Science stakeholders.
• Act as a technical anchor and thought leader within the Ads Optimization space, helping establish analytical standards and mentoring other data scientists and team members.
• Collaborate with Ads Product and Sales teams to gather advertiser feedback, understand business needs, and translate market insights into optimization priorities.

Requirements:

• 6+ years of professional experience in data science or a related quantitative field, with proven experience working on advertising optimization at an ad technology company or comparable environment.
• Hands-on experience with advertising systems such as pacing, targeting, bidding, budget allocation, or related optimization mechanisms.
• Strong foundation in product and data analytics, A/B experimentation, causal inference, statistical modeling, and quantitative problem solving.
• Demonstrated experience shipping optimization systems into production, including measuring their performance and iterating based on real-world results rather than focusing solely on research.
• Strong understanding of how experimentation and statistical analysis can inform decisions in complex, high-scale production environments.
• Excellent communication skills, with the ability to synthesize sophisticated technical findings and explain their business implications to senior technical and non-technical stakeholders.
• Strong cross-functional collaboration skills and the ability to influence product and engineering priorities through rigorous analysis and evidence.
• Experience working directly with advertising product teams, sales teams, or advertisers to shape product and algorithmic priorities is a plus.
• Background in budget-constrained allocation, adaptive control, model-predictive control, or related optimization methods in production systems is desirable.
• Ability to operate independently on ambiguous problems while maintaining strong analytical rigor, business judgment, and attention to measurable outcomes.

Benefits:

• 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, with the position currently available only to candidates permanently located in Ontario, Alberta, British Columbia, or Nova Scotia.
• Comprehensive benefits designed to support employees across financial, health, and overall wellbeing needs.
• Opportunity to work on large-scale advertising optimization systems with direct impact on advertiser outcomes and platform performance.
• Collaboration with Product, Engineering, Machine Learning, Data Science, and Sales teams in a highly cross-functional environment.
• Opportunity to influence experimentation strategy, optimization algorithms, and technical standards while mentoring peers.
• Flexibility to work from home, an office, or another suitable location under a Flex First working model, with opportunities for regular in-person connection and team events.