Senior Ads Optimization Scientist - Remote (US)

Ladders; United States; Remote; USD 192,000 - 203,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive compensation & benefits

Equity grants & refresh grants

Job summary

Ladders is seeking a Senior Data Scientist II for Ads Optimization to join a leader in the Consumer Technology space. The role shapes the optimization strategy behind advertising performance, focusing on pacing, targeting, and budget allocation, using experimentation, statistical modeling, and machine learning to improve ad spend efficiency and deliver actionable insights to key business partners.

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

Qualifications

• 5-7 years of experience in data science or a related field, ideally within ad tech.
• Proven expertise in ads optimization, including pacing, targeting, and budget allocation.
• Strong foundation in product and data analysis, A/B experimentation, causal inference, and statistical modeling.
• Experience deploying optimization systems into production and iterating in live environments.
• Excellent communication skills for conveying complex technical concepts to stakeholders.

Responsibilities

• Own and drive analytics and experimentation strategy for ad pacing and targeting
• Design and implement intelligent pacing algorithms using control techniques
• Lead comprehensive experimentation across optimization systems and provide actionable insights
• Apply statistical modeling and machine learning to optimize ad spend distribution
• Present insights and strategic recommendations to cross-functional leadership
• Act as a thought leader in Ads Optimization; mentor peers and set analytical standards
• Collaborate with product and sales teams to gather advertiser feedback for prioritization

Skills

Ads optimization

Pacing

Targeting

Budget allocation

A/B experimentation

Statistical modeling

Production deployment

Communication

Cross-functional collaboration

Job description

Ladders is seeking a Senior Data Scientist II for Ads Optimization to join a leader in the Consumer Technology space. The role shapes the optimization strategy behind advertising performance, focusing on pacing, targeting, and budget allocation, using experimentation, statistical modeling, and machine learning to improve ad spend efficiency and deliver actionable insights to key business partners.

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