Manager, Data Science, Ads Ranking

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. The Company’s three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .

The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We’re looking for a Manager, Data Science, Ads Ranking to join Snap Inc.

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

Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products

Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best

Work cross-functionally and partner with product managers, engineers, and researchers to 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 the necessary business context to translate what it all means

Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement

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 managing a high performing team

Knowledge, Skills, Abilities :

Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load

Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc.

Working knowledge of predictive modeling, machine learning, and experimentation / causal inference methods

Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management

Expertise 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

Ability to balance practical business needs and scientific rigor

Industrial knowledge in ad ranking or recommendation systems

Minimum Requirements

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

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

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some .

"Default Together" Policy at Snap : At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability / vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include 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!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.

The base salary range for this position is $229,000-$343,000 annually.

The base salary range for this position is $218,000-$326,000 annually.

The base salary range for this position is $195,000-$292,000 annually.

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