Senior Data Scientist: Ads Optimization & Experimentation

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

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.