Senior Data Scientist II - Ads Optimization

For our client, we are seeking a Senior Data Scientist II - Ads Optimization to join the team of a leader in the Consumer Technology space.

This role will own advanced analytics and experimentation efforts that improve ad pacing, targeting, and budget allocation outcomes. You will partner closely with product and sales stakeholders to translate advertiser feedback into optimization priorities and measurable business impact. The position also calls for strong technical leadership in statistical modeling, machine learning, and production-ready optimization systems.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $218,000 – $230,000 annually

Responsibilities

• Own the analytics and experimentation strategy for ad pacing and targeting to enhance advertiser outcomes
• Design and implement intelligent algorithms for pacing and budget allocation using advanced control techniques
• Lead end-to-end experimental design and analysis for optimization systems and convert findings into actionable recommendations
• Utilize statistical modeling and machine learning to optimize ad spend across different opportunities
• Present analytical insights and strategic recommendations to senior leadership in various departments
• Act as a thought leader in Ads Optimization, mentoring team members and establishing analytical standards
• Collaborate with Ads Product and Sales teams to incorporate advertiser feedback into optimization priorities

Qualifications

• 5-7 years of experience in data science, especially in advertising optimization at an ad tech company
• Strong foundation in data analysis, A/B testing, causal inference, and statistical modeling
• Experience deploying optimization systems into real-world, high-throughput production environments
• Excellent communication skills, capable of simplifying complex findings for various stakeholders
• Prior direct collaboration with ads product or sales teams is preferred
• Familiarity with budget-constrained allocation methods and adaptive control techniques in production systems

Benefits

• Remote work flexibility under a flexible remote work policy
• Equity grant eligibility for new hires and annual refresh grants
• Comprehensive health benefits
• Market-competitive compensation packages
• Opportunities for career development and professional growth

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.