Manager, Data Science, Ads Ranking

Position Overview

Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. Through products like Snapchat, Lens Studio, and Spectacles, Snap empowers people to express themselves, live in the moment, learn about the world, and have fun together.

The Data Science & Insights team leverages massive data sets into actionable insights that deliver business value. We are truth seekers and truth tellers who relay what the data says without bias. We aim to improve decision-making quality and speed across the organization and are seeking a Manager, Data Science, Ads Ranking to lead our team.

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
• Help build and manage a high-performing team and guide them to execute on key priorities and deliver world-class products
• Establish a positive, mutually supportive, inclusive, and fun team environment where every employee can excel
• Work cross-functionally with product managers, engineers, and researchers to develop data-driven strategies that shape product direction
• Conduct in-depth analysis of diverse data sources, test hypotheses, identify patterns, and provide business context for strategic decision-making
• Deliver on the data science and analytics roadmap including continuous improvement, accurate reporting, and effective measurement
• Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights, and measurement frameworks
• Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features
• Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders
• Provide strategic direction, project clarity, and methodological consultation while delivering results both individually and through managing a high-performing team

Required Qualifications

• BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field, or equivalent experience
• 7+ years of experience in quantitative analysis, data science, or a related field
• 3+ years of experience in a leadership role within a data organization
• Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing, and ad load
• Strong background in statistical analysis with experience using packages such as R, MATLAB, or Stata
• Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods
• Expertise in data workflow and pipeline management including data capture, measurement, and optimization capability
• Proficiency in SQL and familiarity with Python
• Excellent communication skills with high attention to detail
• Ability to initiate and drive projects to completion with minimal guidance while balancing practical business needs and scientific rigor
• Industrial knowledge in ad ranking or recommendation systems

Preferred Qualifications

• Advanced degree in a quantitative field (e.g., 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 and opportunities to drive growth and performance
• Experience in a product-focused role at a social media, online advertising, digital media, and/or mobile technology company

Benefits & Perks

• Compensation: Zone A (CA, WA, NYC): $229,000-$343,000 annually; Zone B: $218,000-$326,000 annually; Zone C: $195,000-$292,000 annually. This position is also eligible for equity in the form of RSUs.
• Benefits: Paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success.