Senior Data Scientist, SMB Growth

Senior Data Scientist, SMB Growth

This job is no longer open

Location: US remote-friendly

Reddit is continuing to grow our teams with the best talent. This role is 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 Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.  

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.

How You'll Have Impact:

  • Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding. 
  • Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
  • Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
  • Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
  • Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Responsibilities:

  • Work closely with cross-functional teams such as product, marketing, and business development to model, analyze and influence the impact of multiple marketing tactics
  • Develop dashboards to analyze marketing spend performance and return on investment
  • Drive research investigations to understand the behavior of advertisers acquired through different paid marketing channels 
  • Develop an advertiser segmentation to help us understand how to better quantify customer needs and workflows
  • Stand up lifetime value models to estimate the value of advertisers acquired through paid marketing 
  • Conduct in-depth post-campaign analysis or set up experiments to help the team understand performance and opportunities for improved targeting.
  • Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Required Qualifications:

  • 4+ years of experience in quantitative analytical roles, preferably for an ads marketing team
  • Proficiency with relational database (e.g., SQL)
  • Familiarity with statistical analysis and programming languages (e.g., R / Python)
  • Results-oriented with a strong customer and business focus
  • Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
  • Ability to communicate and discuss complex topics with technical and non-technical audiences
  • Ability to 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

This job is no longer open
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