Design and research new methods for data collection and the applications of that data to introduce new product features or serve as enhancements to existing features.
Perform data analysis on internally and externally derived datasets to assess data quality and conduct feasibility studies on inference techniques for security properties.
Ideate new product features and enhancements based on the latest security trends and capabilities.
Provide security subject matter expertise to influence security ratings methodology and policy.
Collaborate with product and engineering groups to develop new data processing specifications.
Collaborate with the Data Partnerships team to maintain partner relationships, serving as a technical liaison for external partners.
Conduct research, writing, and presentations in support of marketing activities and customer engagements to promote key findings and capabilities and explain data and ratings concepts.
Requirements
Strong technical background with expertise in networking concepts, information security, and cryptography.
Proficient in standard scripting languages, able to code data collection, analysis, and processing prototypes
Capable of being self-motivated and operating autonomously on projects, or with others in a team.
Strong communication and analytical skills, including ability to identify and solve ambiguous problems.
Ability to conduct statistical experiments and test hypotheses.
Proven track record in security data analysis and presentation.
Interested in learning distributed computing technologies such as PySpark/EMR/Hadoop.
B.S/M.S in Computer Science or similar field or commensurate experience.
Tech Stack
Hadoop
PySpark
Benefits
Best in class benefits
Reasonable accommodations for qualified individuals with disabilities or based on a sincerely held religious belief