Working for FAIR ISAAC will be the best DECISION you’ll ever make.
Fair Isaac’s powerful and intelligent software helps companies make better decisions every day.
Discover the benefits of working for Fair Isaac:
- New direction, growth and advancement opportunities
- Excellent compensation and benefits package (featuring: one week of vacation accrual upon hire, most benefit plan eligibility begins on 1st day of employment, flexible work schedules, 401k with company match, excellent tuition reimbursement plan)
- Dynamic and energetic environment
- Global company
- Innovative and diverse products and technology touching many different industries
- Commitment to teamwork, offering challenges and the opportunity to innovate
Consider joining other talented individuals where your contributions make an impact in the role of Analytic Science - Lead Scientist located in our San Diego, California office.
The Analytic Science - Lead Scientist will be responsible for designing and developing state-of-the-art, data-driven exploratory analysis and machine learning algorithms. End results include publications, software, and demonstrations. The Lead Scientist works as part of a team to process data, code algorithms, conduct experiments and analyze and report results.
For consideration, candidates will have a Master’s degree in applied mathematics, statistics, operations research, engineering, computer science or related technical discipline plus two years professional experience. Software: The ability to use object oriented languages such as C, Java and Perl to manipulate data develop and test algorithms is also required.
A PhD with two years professional experience in applied mathematics or related field is preferred.
People are our most important asset and what makes us successful. With you, we can make a difference in the markets we serve. Apply today on-line to requisition number 2817 at www.fairisaac.com.
FI is an Equal Opportunity Employer
URL: www.datashaping.com/jobs16351x.shtml
Please mention datashaping.com when applying. Thank you.
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