Senior Manager, Data Science, Ads

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

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 Senior Manager, Data Science, Ads to join Snap Inc.!

What you’ll do

• Lead a team of data scientists and managers focused on driving the growth of our SMC business, directly contributing to the success of our ads platform

• Partner closely with Product and Sales leadership to inform the direction of the product roadmap, identify opportunities for advertiser growth, and make recommendations for driving incremental revenue

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

• Deliver insightful analysis and recommendations that can be acted upon by the organization at all levels, interfacing directly with senior leadership to drive meaningful change

• Clearly articulate the approach and the findings of interpretable analytical models and drive the continuous refinement of what should be tracking and reporting

• Build out in-depth knowledge of the business success drivers (including determining the KPIs that will help meet our goals) and deliver value added solutions that have a measurable impact on the business

• Drive pragmatic approaches to solving key complex business problems through data creation, analysis, predictive modeling 

• Work cross-functionally across multiple teams on different projects, ensuring timeliness and successful completion

• Deliver clear data and dashboards on what is happening in the product, metric regressions and understanding of ML performance

• Mentor and develop individual contributors and managers

Knowledge, Skills, Abilities:

• Direct experience leading large data science teams (10+ people) focused on advertising products and advertiser growth

• Experience leading data science teams in the digital advertising domain, ideally with a mix of product and growth experience.

• Understanding of statistical analysis, experience with packages, such as Python, 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 verbal and written 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

Minimum Requirements

• BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience

• 10+ years of experience in measurement and insights; ideally in a direct to consumer business

• 5+ years experience in building, managing, and leading a high-performing data analytics team

Preferred qualifications

• Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline

• Ability to bring the right data technique to solve the problem in an explainable manner to the business

• Consultative nature, with a proven track record of using data to provide actionable results

• Experience in Modeling, Forecasting, Data Management

• Strong vision to building out functional area within a fast moving environment

• Proven ability to dig into metrics and understand underlying reasons for movement

• Successful track record in hiring, managing and developing talent

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

"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).

Our Benefits: 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.

Zone A (CA, WA, NYC):

Zone B:

Zone C:

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