Senior Data Scientist, Consumer

Reddit
86d$190,800 - $267,100

About The Position

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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.

Requirements

  • Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app
  • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; If PhD degree, a minimum of 3+ years of industry data science experience required)
  • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)
  • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques
  • Comfortable in innovative and fast-paced environments, and a bias toward action
  • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike
  • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating

Responsibilities

  • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations
  • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests
  • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly
  • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact
  • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes
  • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making

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
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