HNC Financial Solutions seeks a Staff Scientist

[McClarin, Melissa]

At HNC Software, innovation and growth make us one of the most dynamic
software companies in the world. We have been recognized by Forbes (ASAP
Dynamic 100), Fortune (100 Fastest growing companies in America), and
Software Magazine (500 Top Software Companies). Also, the San Diego Business
Journal listed us as one of "The Best Companies to Work for in San Diego." 
HNC Financial Solutions, a division of HNC Software, is a world leader in
the development and delivery of predictive, neural networks based software
solutions for the financial industry.  We offer the opportunity to work with
cutting edge technology and a world class team in a casual atmosphere.
Benefits include three weeks vacation, stock option grants and tuition
reimbursement. 

HNC Financial Solutions is seeking a full time Staff Scientist to be based
at our headquarters in San Diego, California. Please see job description and
requirements below.
	To apply, please use one of the following methods:
	Mail:    5935 Cornerstone Ct. W
		     San Diego, CA 92121
	Email: hireme at hnc.com 
	Online:http://www.hnc.com
      
To apply for this position, please reference job code F142SD
Staff Scientist

Duties/Job Description: Responsibilities include designing and
building predictive models based on the latest technologies in neural
networks, pattern recognition/artificial intelligence, and statistical
modeling for various applications in the financial industry. Specific
responsibilities may vary by projects but will include analyzing data
to determine suitability for modeling, pattern identifications and
feature (variable) selection from large amounts of data, experimenting
with different types of models, analyzing performance, and reporting
results to customers.

Required Qualifications (Experience/Skills): MS or PHD in Computer
Science, Electrical Engineering, Applied Statistics/Math, or related
field. Minimum 2 years of experience in pattern recognition,
mathematical modeling, or data analysis on real world
problems. Familiarity with the latest modeling techniques and tools.
Good oral and written communication skills, both in terms of
interacting with customers and co-workers. Very comfortable with UNIX
and C. Familiar with SAS, or other analysis tools.

Preferred Qualifications (Experience/Skills): Strong mathematical
appetite, problem solving and computer skills. Good UNIX scripting and
rapid prototyping skill.  Quick learner and a good team
player. Experience in designing systems based on neural networks,
pattern recognition, and/or statistical modeling techniques for
financial, health care, marketing, or other real world applications.