You Will:

📍Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations. 📍Conduct in-depth research to address complex data-related challenges. 📍Work on projects that have a real impact on our products, services, and business strategy. 📍Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers 📍Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

📍Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science, Operations Research, Computer Engineering, Electrical Engineering. 📍At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship. 📍Proficiency in one or more programming languages (e.g., SQL, Python or R) 📍Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow. 📍Passion for applying scientific rigor to advance dynamic consumer products. 📍Experience in developing production solutions is a plus. 📍Experience with ML modeling

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