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