Product Analytics Data Scientist Intern - Insights

Meta Careers; Menlo Park (CA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta is seeking a Data Scientist Intern to shape data-driven product decisions across consumer and business applications. You will leverage SQL, Python, and R to test hypotheses, build models, and influence product strategy with insights.

You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to deliver impact and learn in a fast-paced, cross-functional environment in Menlo Park, CA.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• Currently is in the process of obtaining a PhD degree in quantitative field.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Curious, self-driven, analytical and excited to play with data.
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Ability to thrive in a fast paced work environment.
• Intent to return to a degree-program after the completion of the internship.

Responsibilities

• Use data to shape product development and quantify opportunities.
• Identify upcoming challenges and ensure products bring value to users and business.
• Tell data-driven stories to influence product decisions and investment.

Skills

SQL

Python

R

Education

Bachelor's degree in Mathematics/Statistics/related field

PhD candidate in quantitative field

Job description

Meta is seeking a Data Scientist Intern to shape data-driven product decisions across consumer and business applications. You will leverage SQL, Python, and R to test hypotheses, build models, and influence product strategy with insights.

You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to deliver impact and learn in a fast-paced, cross-functional environment in Menlo Park, CA.