Manager, Data Science, Ads Ranking

Location: Bellevue, India | Los Angeles, Canada | New York, United States | Palo Alto, Canada | San Francisco, Canada | Seattle, India

Department: Growth

Employment Type: Full time

About Snap Inc

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

About the Role

Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together through our core products: Snapchat, a visual messaging app that enhances relationships; Lens Studio, an augmented reality platform powering AR across Snapchat and beyond; and Spectacles, our AR glasses. The Data Science & Insights team leverages massive datasets into actionable insights that deliver business value, acting as truth seekers to improve decision-making across the organization. We're seeking a Manager, Data Science, Ads Ranking in the Growth department to drive innovative ad experiences that blend seamlessly with Snapchat's creative, camera-first culture. In this role, you'll lead a team of data scientists optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value while enhancing the Snapchatter experience. You'll build and manage a high-performing team, fostering an inclusive, fun environment, and collaborate cross-functionally with product managers, engineers, and AR researchers to shape data-driven strategies. By conducting deep analyses, defining roadmaps for model development and experimentation, and translating insights into strategic recommendations, you'll ensure ads integrate creatively with Snapchat's ephemeral, visual storytelling powered by cutting-edge camera and AR innovations. You'll drive scalable methodologies for causal inference, deliver timely reporting, and provide leadership on projects that balance business impact with scientific rigor. With your expertise in auction theory, ML, and data pipelines, you'll position Snap as a leader in AR-enhanced advertising. Join our vibrant, diverse culture where bold ideas and creative expression fuel growth, and help us redefine how brands connect with users in real-time through Snapchat's immersive platform.

What You'll Do

• 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 of data scientists, guiding 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 do their best work
• Work cross-functionally with product managers, engineers, and researchers to develop data-driven strategies that shape product direction
• Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns, and providing business context
• Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights, and measurement framework
• 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, methodological consultation, and deliver results both individually and through team management
• Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting, and measurement
• Partner with AR and camera technology teams to integrate data insights that enhance creative ad experiences on Snapchat

Minimum Qualifications

• BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
• 7+ years of experience in quantitative analysis & data science or a related field
• 3+ years 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
• Expertise in SQL and familiarity with Python
• Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods
• Understanding of statistical analysis, experience with packages such as R, MATLAB, Stata, etc.
• Expertise in the data workflow and pipeline and ability to lead a team responsible for data capture, measurement, and optimization capability management

Preferred Qualifications

• Advanced degree in a quantitative field (Economics, Computer Science, Physics)
• Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc.
• 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
• Industrial knowledge in ad ranking or recommendation systems

Knowledge, Skills & Abilities

• Leadership of data science teams
• Auction dynamics and pricing expertise
• Ad ranking and pacing knowledge
• Statistical analysis (R, MATLAB, Stata)
• Predictive modeling
• Machine learning
• Experimentation and causal inference
• SQL expertise
• Python familiarity
• Data pipeline and workflow management
• Excellent communication skills
• High attention to detail
• Project initiation and completion with minimal guidance
• Balancing business needs and scientific rigor
• Cross-functional partnership
• Hypothesis testing and pattern identification
• Strategic recommendation delivery

Our Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap’s long-term success
• Equity in the form of RSUs
• "Default Together" policy with dynamic in-office collaboration 4+ days per week
• Opportunities to work on innovative camera technology and AR products
• Inclusive culture fostering diverse backgrounds and creative expression

Compensation

$229,000-$343,000 annually

This position is eligible for equity in the form of RSUs.

"Default Together" Policy: At Snap Inc, we practice a "default together" approach and expect team members to work in an office 4+ days per week.

Snap is proud to be an equal opportunity employer.