Location: US remote-friendly

At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

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 Targeting, Optimization, and Recommendations product development teams to build cutting edge optimization engines and intelligence tools that empower advertisers to maximize their return on ads spend (ROAS). The product areas you will own include Ads Targeting, Auto-bidding, Budget Delivery and Pacing, and Advertiser Recommendations.   

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 and managers to achieve our longer term vision
• Provide technical leadership in ML and optimization-driven product building including keyword targeting, auto-bidding, and campaign budget optimization 
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritize longer term goals
• Continually develop & execute on a Data Science roadmap and vision for your team
• Foster a culture of innovation, collaboration, and 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:

• Relevant experiences in advertiser facing optimization product building (e.g. targeting, budget pacing, bidding)
• 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 would be a bonus.
• Strong skills in programming (Python or R) and SQL
• 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
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

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

#LI-Remote #LI-NH1