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Computational Social Science Researcher
2 months ago
Meta is on the lookout for a Research Scientist to enhance our Computational Social Science team. Our mission is to deepen our understanding and enhance our influence on critical societal issues, including fostering healthy connections, community engagement, social cohesion, youth experiences, civic discourse, electoral processes, democracy, institutional trust, economic opportunities, and addressing inequality. We are a dedicated team of computational social scientists focused on addressing these research challenges at scale through advanced quantitative and computational methodologies.
Key Responsibilities:
- Engage in research utilizing state-of-the-art computational and quantitative techniques to enhance the scientific comprehension of issues related to Meta's societal impact.
- Analyze extensive datasets to derive concrete conclusions and actionable insights.
- Effectively communicate intricate technical subjects and nuanced findings to a variety of audiences.
- Collaborate both independently and with fellow scientists, engineers, UX researchers, and product managers to achieve complex objectives.
Minimum Qualifications:
- Currently pursuing or holding a Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Degree completion is required prior to joining Meta.
- Currently pursuing or holding a PhD in computer science, statistics, economics, sociology, political science, or a related discipline. Degree completion is required prior to joining Meta.
- Proficiency in statistical methods and computational techniques (e.g., machine learning, social network analysis, large language models), with experience in resolving analytical challenges using these methods.
- Experience in manipulating and analyzing complex, high-volume, and high-dimensional data from diverse sources.
- A proven track record of empirical research and a strong inclination for addressing challenging questions with data.
- A flexible analytical mindset that accommodates results at varying levels of precision.
- Proficiency in a data analysis language such as R or Python.
- Familiarity with relational databases and SQL.
- Strong understanding of statistical inference techniques.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Experience in solving intricate problems and evaluating alternative solutions, trade-offs, and diverse perspectives to determine a viable path forward.
- Experience in cross-functional collaboration and communication within a team environment.
- Demonstrated research and software engineering experience through internships, work experience, coding competitions, or significant contributions to open-source projects (e.g., GitHub).
Preparation:
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