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Facebook Research Scientist, Modeling and Optimization in Washington, District Of Columbia


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.


Facebook is seeking a Research Engineer to join and support the Core Data Science team in Washington DC. Individuals in this role are expected to be comfortable working as a software engineer, data analyst, and scientist, and have a desire for solving real-world problems.

Required Skills:

  1. Work with a small group of research scientists that consult with business and product teams to execute their solutions for real-world impact.

  2. Quickly learn and deploy appropriate data science tools and methodologies as needed, with tasks ranging from A/B testing to data processing and analysis to production engineering to optimization and machine learning.

  3. Translate and implement cutting-edge academic research into practical and scalable algorithms.

  4. Create data pipelines gathering large datasets for analysis.

Minimum Qualifications:

  1. PhD in STEM field (Computer Science, Engineering, Operations Research, Physics, Mathematics, Statistics, Biostatistics etc.)

  2. Experience collaborating with engineering and product teams on cross-functional projects

  3. Programmer with experience in Python and R

  4. Experience using data science packages and libraries in Python and R such as NumPy, pandas, scikit-learn, ggplot2, dplyr

  5. End-to-end experience assembling, manipulating, and analyzing data (including data extraction, cleaning, visualization, presentation, etc.)

  6. Experience with relational databases and SQL

  7. Experience with machine learning and statistical analysis

Preferred Qualifications:

  1. Publication record containing strong applied and methodological research

  2. Experience working with distributed computing tools such as Map/Reduce, Hadoop, Hive, or Presto

  3. Familiarity with modern causal inference and experimental design

  4. Experience writing code in at least one of C++, Java, or PHP

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.