Senior Differential Privacy Research Engineer

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Sr. Differential Privacy Research Engineer - Austin, TX: perform research into data obfuscation methods for generation of anonymized datasets; design & implement experiments to assess real-world threat models pertaining to sensitive info release; publish research findings in peer-reviewed academic journals & int'l conferences. Must have Ph.D. in Statistics or Mathematics & 2 yrs exp writing large-scale data analysis w/Apache Spark. Must also have (i) 2 yrs exp performing statistical inference applied to noise-obfuscated data collections, (ii) 2 yrs exp developing statistical packages in Python and R, & (iii) 1 yr exp performing probabilistic analysis of unlikely events & outlier detection. Must have at least one relevant academic publication on the topic of differential privacy. Exp may be gained concurrently. Apply online at