Postdoctoral Research Scientist, Data Science (PhD University Grad)Facebook Reality Labs | Redmond, WA
Understanding our users is a crucial part of our mission of creating the future of VR and AR technology. As a Postdoctoral Research Scientist in the AR interaction team at Facebook Reality Labs in Redmond WA, you'll be tackling the most exciting challenges of informing the direction of augmented reality's future with the insights driven from analyzing and modeling human behaviors captured in data.
The projects will take advantage of collaborating with cross-organizational teams at various parts of Oculus and Facebook as well as academic institutions. Exploring and experimenting with data is core to this role in addition to applying your machine learning skills. You will work with UX researchers, designers, and research scientists to inform the core questions to investigate. You will be responsible for defining and executing complex data investigation projects; including identifying relevant data from existing sources, proposing new data collection schemes, analyzing, driving insights and constructing predictive models and algorithms.
The position is a fixed-term (postdoctoral) contract for 24 months and requires a PhD in a quantitative discipline such as statistics, operations research, computer science, computational social science, quantitative psychology or related field. Ability to obtain and maintain work authorization in the US at the time of hire. The ideal candidate will have the ability to obtain and maintain work authorization in the US at the time of hire.
Work independently to design, prototype, and implement complex exploratory analyses
Partner with relevant data science and machine learning teams within Facebook to provide the team a comprehensive knowledge and best practices in analytics and modeling
Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
Work with data engineers to develop data and modeling pipelines
Effectively communicate insights and recommendations to support decisions on future research directions
2+ years of experience in extracting and manipulating large datasets
2+ years of experience in scripting with SQL, extracting large sets of data, and design of ETL flows
2+ years experience with various supervised and unsupervised machine learning techniques
Experience in a scripting language (PHP, Python, Perl, etc.)
Experience designing and executing on research agenda
Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of statistics, operations research, computer science, computational social science, quantitative psychology or related field
Must be available to start employment on or after October 1, 2018
Interpersonal experience: cross-group and cross-culture collaboration
Experience with distributed computing (Hive/Hadoop)
Experience in working with large-scale user behavior data in an industry setting
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences