Staff Data Scientist - Ads Experimentation

February 28

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Reddit, Inc.

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Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000

Description

• Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases. • Lead the experimentation council that approves/guides experiment designs to ensure high-quality and trustworthy experimental results that lead to action. • Explore new experiment designs/techniques such as budget split experiments, variance reduction techniques, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business. • Liaise with the centralized experimentation team in building platform features to accelerate ads experimentation. • Develop and adopt metrics and statistical methods that help ads product teams better measure their feature areas, as well as the toolset to help experimenters understand the “why” behind what they are seeing in their experiments. • Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through experimentation.

Requirements

• Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app, ads monetization, safety etc. • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Econometrics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 10+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required) • Deep understanding of online experimentation and causal inference. Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc. • Fluent with statistical analysis, programming languages (e.g., Python/R) and querying relational databases (e.g., SQL) • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike • Able to tackle ambiguous and undefined problems • Experience with digital advertising and marketplace dynamics is preferred, but not required. • Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit

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