Research Data Scientist

The Infrastructure Data Science and Engineering group uses statistical and machine learning techniques to support Meta’s infrastructure to enable the continued growth of Meta’s apps and products. We partner with engineering teams supporting Meta’s infrastructure, focusing on strategic initiatives that make our infrastructure more efficient, reliable, performant, and scalable. We are full-stack data scientists, responsible for bringing analytical rigor to solving business and technical problems at Meta-scale. We analyze data, design experiments, build models, communicate our results, and often deliver production code, fostering a culture of data-driven decision making. We form close partnerships with engineering teams and deliver results that have a direct impact on Meta’s mission and products. We are also team players who believe that diverse strengths and perspectives create synergy and maximize our impact. Our team has expertise in diverse fields, ranging from statistics, computer science, and economics to physics, biostatistics, chemical engineering, and computational neuroscience. This diversity creates ample opportunities for us to learn from each other and become creative applied researchers. Ideal candidates are passionate about Meta’s mission and products, possess strong analytical aptitude and coding ability, have excellent collaborative and communication skills, and have hands-on experience working on projects using predictive modeling, pattern mining, optimization, and other quantitative methods.

• Identify appropriate quantitative methods and build relevant data sets to address challenges across different domains in Meta’s infrastructure.
• Develop statistical and machine learning solutions end-to-end through the full life cycle of prototyping, testing, evaluating, deploying and maintaining them at Meta scale.
• Develop measurement solutions and experimentation frameworks to ensure effective data-driven decision making.
• Drive projects forward by forming close collaborative relationships with other data scientists and engineering partners to reach the end deliverable, such as production-grade models and algorithms or analyses that shape the technical vision of partner teams.
• Communicate project results and recommendations to stakeholders and cross-functional partners.

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Degree in a quantitative field such as Computer Science, Statistics, Engineering, Operations Research, and other related technical fields with focus on computation and modeling (e.g. BioInformatics, Neuroscience, Physics).
• 2 years of experience applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to business problems.
• 2 years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
• 2 years of experience presenting findings from statistical and machine learning methods to stakeholders and partners through effective written and verbal communication.
• Experience with at least one programming language (e.g., Python, Java, C ).
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

• Advanced degree in quantitative fields such as Computer Science, Statistics, Engineering, Operations Research, and other related technical fields.
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
• Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
• Experience working with distributed computing tools such as Hadoop, Hive, and Spark.
• Proficiency in data structures and algorithms.

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

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