Sr. Data Scientist, Analytics - Ads Measurement

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.

We are looking for a Senior Data Scientist to work within the Ads Data team and support Measurement initiatives. You will work closely with engineers and product owners from our Ads and Measurement teams to build measurement solutions for advertisers. Your goal is to increase adoption of our measurement products, so advertisers can measure and optimize their Return on Ads Spend (ROAS).

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

Responsibilities:

• Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
• Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
• Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
• Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases. 
• Test out various statistical approaches to deal with data insufficiency and under-powered tests.
• Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.

What We Can Expect From You:

• Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science) 
• Master’s or PhD degree preferred, but not required
• Proficiency in Statistics
• Proficiency with Python programming languages
• Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
• Experience with dashboarding tools and data visualization
• Experience with workflow scheduling (such as Airflow) and data pipelining 
• Familiarity with experimentation and causal inference analyses
• 6+ years of experience in analytics roles, preferably in the Ads domain