Data Scientist Jobs at Facebook in the USA

About Position 

The headquarter Office of Facebook at Menlo Park, California is seeking creative, talented and highly qualified Data Scientist to join the Product Science group within the Core Data Science team. The team works closely with various product groups throughout Facebook, bringing expertise in algorithms, modeling, machine learning, exploratory data analysis, and social network analysis. We help these teams better understand how people use their products, and we solve hard problems that will enable these products to better serve their users.

Duties and responsibilities 

The successful appointee in the position of Research Scientist – Computational Social Science will have to perform the following duties and responsibilities

• Work with large amounts of data in service of concrete conclusions and actionable insights
• Communicate complicated technical topics and nuanced insights to diverse audiences
• Learn new tools and languages quickly as required by the particular project you are working on, with tasks ranging from data processing to production engineering to modeling and machine learning
• Work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Facebook’s community of over 1.7 billion users
• Think creatively, proactively, and futuristically to identify new opportunities within Facebook’s long term roadmap for data-scientific contributions

Required qualifications

• MS degree with 4+ years of relevant experience in data science or research science, or Ph.D. in computer science, statistics, economics, sociology or related field.
• Experience in machine learning, deep learning, statistical analysis, or social network analysis.
• Experience in analysis and visualization using off-the-shelf statistical computing software such as R, Python or Julia.
• Ability to write production code in PHP, Python, C++, or Java.
• Ability to manipulate and analyze data from various sources, including with distributed computing tools like Hive and Presto.