[2026] Data Scientist - PhD Intern (Short Term)

Key Skills

Apache Hive, Big Data Technology, Data science techniques, Machine learning techniques, Python Programming, R Programming, SPARK Programming, SQL

Job Description

Teams Hiring for this role:

• Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models.
• Safety: Managing account relationships and the real-time morphing of linguistic mapping.
• Economy: Drive creator success and growth by exploring marketplace structure and pricing.

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

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.