Research Data Scientist, University Grad

The Infrastructure Data Science and Engineering group uses statistical and machine learning techniques to support Meta’s infrastructure to enable the continued growth in 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, 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 and communicate our results, fostering a culture of data-driven decision making. We are also team players who believe that diverse strengths and perspectives create synergy and maximize our impact. We form close partnerships with engineering teams and deliver results that have direct impact on Meta’s mission and products.
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 modelling, pattern mining, optimization, and other quantitative methods.
At Meta, supporting our employees is a core part of how we do business. From our generous benefits to our robust diversity programs, we’re focused on empowering all our employees to live life to the fullest and bring their best selves to work each and every day. We’re proud of our supportive and inclusive culture and our International Headquarter benefits from over 100 different nationalities. We are dedicated to making Meta welcoming to everyone who comes to work with us and we actively seek to recruit people with different backgrounds and experiences to help us build better products, make better decisions, and better serve our clients.

Responsibilities:

• 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
• Form close collaborative relationships with other data scientists and engineering partners and contribute to team projects through model development and analyses
• Communicate project results and recommendations to stakeholders and cross-functional partners

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Masters or PhD degree (or equivalent) in Computer Science, Computer Engineering or relevant technical field
• Experience applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to real-world data sets
• Experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL
• Experience with at least one programming language (e.g., Python, Java, C++)
• 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

Preferred Qualifications:

• Currently has, or is in the process of obtaining a Masters or PhD degree (or equivalent) in Computer Science, Computer Engineering or relevant technical field
• Experience applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to real-world data sets
• Experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL
• Experience with at least one programming language (e.g., Python, Java, C++)
• 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

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.