Data Scientist Intern - Product Analytics

As a Data Scientist Intern at Meta, you will shape the future of people-facing and business-facing products across Meta's family of applications. Applying your technical skills, analytical mindset, and product intuition to a rich data set, you will help define experiences for billions of people and hundreds of millions of businesses. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and other teams. You will use data and analysis to identify and solve product development challenges, influence product strategy and investment decisions, focus on impact, and collaborate with other teams. ## Product leadership Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure products bring value to people, businesses, and Meta. ## Analytics Develop hypotheses and use rigorous analytical approaches, methodologies, frameworks, and technical approaches to test them. ## Communication and influence Tell data-driven stories, not simply present data. ## Responsibilities - Perform large-scale data analysis to extract useful business insights. - Identify actionable insights, suggest recommendations, and influence the direction of the business by communicating results to cross-functional groups. - Work closely with a Product Manager and Engineering team to proactively create rules and manage decisions. - Classify leads so teams work on the most valuable cases. - Suggest improvements in tools and techniques to help scale the team and/or build 0-to-1 convictions on new initiatives. Model solutions around what delivers long-run user value. ## Minimum Qualifications - Currently pursuing a Bachelor's and/or Master's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. - Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. ## Preferred Qualifications - Curious, self-driven, analytical, and excited to work with data. - Ability to thrive in a fast-paced work environment. - Experience with data querying languages such as SQL, scripting languages such as Python, and/or statistical or mathematical software such as R. - Intent to return to a degree program after completing the internship.