Manager, Data Science, Ads Ranking

Position Overview

Snap Inc is a technology company focused on empowering self-expression through innovative products like Snapchat, Lens Studio, and Spectacles. The Data Science & Insights team transforms massive data sets into actionable insights that drive better decision-making and product innovation. We are seeking a Manager, Data Science, Ads Ranking to lead a high-performing team and optimize ad ranking and marketplace efficiency.

Key Responsibilities

• Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience.
• Build and manage a high-performing team, set priorities, and deliver world-class products.
• Establish a positive, inclusive, and engaging team environment.
• Collaborate with product managers, engineers, and researchers to develop data-driven strategies that shape product direction.
• Conduct in-depth analysis across all data sources, test hypotheses, identify patterns, and provide actionable insights.
• Drive the data science and analytics roadmap to ensure accurate reporting and continuous improvement.
• Define and execute the roadmap for ad ranking, including model development, experimentation, and measurement frameworks.
• Translate complex technical findings into strategic recommendations for leadership and cross-functional stakeholders.
• Provide strategic direction, methodological guidance, and ensure project clarity while managing team performance.

Required Qualifications

• Experience leading ads data science teams with a deep understanding of auction dynamics, pricing, ranking, pacing, and ad load.
• Proficiency in statistical analysis with experience using tools such as R, MATLAB, or Stata.
• Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods.
• Expertise in managing data capture, measurement, and optimization workflows with strong SQL skills and familiarity with Python.
• Excellent communication skills with high attention to detail.
• Ability to drive projects to completion with minimal guidance, balancing business needs with scientific rigor.
• BS/BA degree in statistics, mathematics, economics, computer science, engineering or a related field, combined with 7+ years of quantitative analysis & data science experience and 3+ years in a leadership role.
• Industrial knowledge in ad ranking or recommendation systems.

Preferred Qualifications

• Advanced degree in a quantitative field (Economics, Computer Science, Physics).
• Experience forming partnerships with cross-functional leaders in engineering, product, design, or research.
• Proven track record in transforming data into meaningful insights that drive growth and performance.
• Experience in a product-focused role within social media, online advertising, digital media, or mobile technology.

Benefits & Perks

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation: Competitive base salary with potential for negotiation and equity in the form of RSUs.
  

  Zone A (CA, WA, NYC):

  $229,000–$343,000 annually.
  

  Zone B:

  $218,000–$326,000 annually.
  

  Zone C:

  $195,000–$292,000 annually.