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Data Scientist, GBG Data Science Responsibilities

  • Apply analytical skills to complex quantitative problems, presenting and driving actions from insights to key stakeholders both reactively and proactively
  • Develop deep understanding of the Meta ads auction, analyzing a dynamic system and developing new optimizations for ad delivery and marketing strategies
  • Research applied machine learning questions in our ads ranking to improve system efficiency and drive company wide understanding
  • Identify novel marketing strategies for improving advertiser performance across Meta's ads auction
  • Work closely with our sales and cross-functional teams, as well as advertisers directly to build product intuition and to identify, analyze, and scale performance opportunities
  • Present polished findings and recommendations directly to stakeholders
  • Elevate key themes to our product teams and alpha testing of new opportunities
Minimum Qualifications
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
  • Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience in building, validating, and deploying predictive models using machine learning libraries like scikit-learn, TensorFlow, PyTorch
  • Experience with data visualization tools such as Matplotlib, Seaborn, Tableau, etc
  • Experience in working with large datasets and using SQL or similar tools for data extraction and manipulation
  • Experience delivering and driving action based on data-driven insights
  • Experience influencing and partnering with stakeholders across organizations
  • 3+ years of analytics experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
  • Advanced degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, Finance, etc)
  • Strong programming skills to prototype solutions that are deployed in production environments
  • Experience with experimental design
  • Experience with digital advertising or ads monetization