Senior Data Science Manager, Ads Platform & Experience

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

[Location: remote-friendly or any office location - SF, LA, CHI, NY]

Reddit has a flexible first workforce!

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

We are looking for a results-oriented and strategically minded Data Science Leader to work with our Ads Platform, Experiences and Marketplace teams to provide a richer ads experience to users while also working towards a best-in-class advertiser experience on our platform. You will lead a team of exceptional data scientists focused on enabling Product, Engineering, & Design to develop and execute on an ambitious data-driven roadmap.

Another big focus for this leader would be to build the data foundations and partner in improving our data stack through internal and external tools. A successful leader would drive the development of self-serving tools for advanced analytics founded on robust data science methodologies. Through these investments, they will enable higher quality decision making and improved business performance.

If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee/user ratios in the industry, giving you a tremendous opportunity for both scope & impact.

Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer term vision
• Drive analytics/data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help drive advertiser adoption, ads user experience and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritize longer term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyze product performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required)
• 4+ years of management experience. Experience managing managers is a bonus.
• Strong skills in programming (Python or R) and SQL
• Experience/interest in building data foundations, and/or enabling self-serve analytics through DS methods
• Deep understanding of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies.
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$232,500—$325,500 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.