The Caveon data forensics team analyzes millions of test sessions a year for a variety of clients, including medical boards, tech companies, state departments of education, and others. Processing a variety of data using an automated, proprietary system provides a unique set of challenges, as does providing customized analysis solutions for every client. We are a small team, but consistently achieve big goals. We are constantly striving to improve our capabilities and better support our clients. If you have a growth mindset and you enjoy developing creative solutions, you may be a great fit for our team!

Knowledge / Skills / Ability:

• Strong statistical, mathematical, and data analysis skills including linear algebra, calculus, probability, linear models, combinatorics, psychometrics, and data visualization

• Experienced in research design, conducting research projects, and technical writing

• Good at communicating statistical methods and findings to a variety of remote and in-person audiences

• Curious and highly motivated to identify, investigate, and understand data anomalies

• Microsoft Excel, Word, PowerPoint, and Outlook skills required

• Meticulous attention to detail and documentation

• Ability to work collaboratively as a team player and independently

• Programming skills required; Python or C preferred

General Summary of Responsibility:

• The primary functions of a Data Forensics Scientist are to interpret data forensics results, prioritize results in terms of risk to test security, and communicate statistical information to clients verbally and through written summary reports.
• Secondary functions include assisting in conducting research on statistical methods to detect potential test fraud and documenting statistical methods and analysis procedures.

Preferred Education and Experience:

• Masters in Statistics, Mathematics, or other quantitative field required