Scientist (San Diego, CA)

Company Background:
At ID Analytics, our business is what we call Identity Risk Management, which means helping organizations figure out whether individuals are who they say they are, and helping consumers to better manage and protect their identities. The company was built with an exclusive focus on detecting and preventing identity fraud. In fact, we've built a trusted third-party identity network that we call the ID Network. It's the only cross-industry identity fraud prevention system that is continually updated with millions of identity elements. By combining this unique asset with deep analytics and smart people, we have developed industry-leading solutions that stop identity fraud and create incremental revenue opportunities for our clients.

By joining our team, you will be working alongside some of the most talented people in the industry at one of the fastest growing companies in San Diego. We are a diverse and experienced team that is highly motivated, results-driven and dedicated to keeping ID Analytics at the forefront of Identity Risk Management. If you are a looking for a challenging and rewarding experience, ID Analytics is the place to be.

Position Summary
The person filling this position will be part of a team responsible for the development of the company's advanced technologies particularly to do with statistical score modeling, score model development, score model deployment, large scale database analysis and statistical algorithms.

Principal Duties

• Analysis, design, development, test, troubleshooting and documentation of complex data systems that may involve one or more of the following: predictive score models, feature extraction, data-driven analysis, machine learning, decision making and related utilities.
• Completing written documentation and reports of results. This will take the form of business reports, internal technology white papers and statistical system documentation.
• Other duties as assigned

A Scientist must be able to work independently on complex statistical score modeling and analysis problems with extremely large and complex data structures.

Frequent client interaction is possible to complete deliverables.

Work assignments will include resolving problems or coordinating score model design architecture.

A Scientist at ID Analytics should be able to devise new approaches to solving difficult statistical modeling problems.

Prior statistical score modeling and/or machine learning experience are desirable.

Industry experience in developing scoring models from very large data sets is highly desirable.

Familiarity with the use of Java for delivering high-speed, large scale data modeling solutions is also desirable.

Experience and facility with SAS is also desirable.

Contact:
To apply, please send resume and cover letter to jobs@idanalytics.com.

posted by: JW

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