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Algorithms Scientist (PhD) Guardian Analytics
You are an accomplished mathematician/statistician andcomputer scientist able to develop, analyze and program cutting-edge algorithms based on Bayesian networks and statistical models that will be at the core of Guardian Analytics' fraud prevention applications. You will extend, develop, program and implement new algorithms and underlying mathematical theory, and use your software and database skills to help design and implement core components of our algorithms and models.Requirements:
Ph.D. in statistics, CS, or related engineering disciplines with focus on mathematical algorithms, probability theory, statistical modeling, and machine learning techniques
2+ years of experience in algorithm development and statistical analysis of massive datasets and events
Proven ability to balance theory with pragmatic problem solving skills to develop and apply advanced algorithms to real world problems and data.
Hands on experience with statistical analysis, visualization and data mining tools such as R (strongly preferred) or MATLAB.
1-2 years of scripting experience (Python, Perl) and writing SQL queries and working with databases (MySQL preferred). Software programming skills in Java or C++ a plus
Ability to work with product managers and engineers to translate requirements into design that can be implemented in code for both fraud detection and data visualization
Knowledge or interest in fraud threats, especially in the financial sector
Resourceful, flexible, adaptable team player
Very strong written and oral communication skills
Proven ability to work within a dynamic startup environment
| Location: | Mountain View, CA United States |
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Guardian Analytics
Investors: Foundation CapitalAll Jobs: at Guardian Analytics
| Web Site: | www.guardiananalytics.com |
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| Headquarters: | 289 South San Antonio Road Suite 207 Los Altos, CA 94022 United States |
| Industry: | Software |
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