Research Data Scientist, University Grad

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Research Data Scientist, University Grad
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London, United Kingdom
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.
Research Data Scientist, University Grad 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
  • Experience working on applied research projects using statistical and machine learning techniques on large data sets
  • Experience working with distributed computing tools such as Hadoop, Hive, and Spark
  • Proficiency in data structures and algorithms
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
  • Experience working and communicating cross functionally in a team environment
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
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