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We are looking for a Data Scientist to work within the Ads Data team & support Marketing Sciences initiatives. You will work closely with engineers & product owners from our Ads & Marketing teams to build measurement solutions for advertisers.

Responsibilities:

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

What We Can Expect From You:

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