Analytic Science Scientist Lead - Fair Isaac (San Diego, CA)

Role/Responsibilities :
Be a part of a team of highly motivated and talented scientists and engineers responsible for designing, developing, and deploying state-of-the-art, data-driven predictive models to solve a variety of business problems using the latest technologies in neural networks, machine learning, statistical modeling, pattern recognition, and artificial intelligence.

Main responsibilities include:

• Data exploratory analysis and understanding: Perform data cleansings and basic statistical analyses; develop an in-depth understanding of large datasets; modify and use various techniques for filtering, pattern identification, feature extraction, and variable selection.
• Algorithms and modeling techniques: Experiment with different types of algorithms and modeling techniques; develop prototypes of promising methods and conduct performance studies; create commercial-quality implementations of algorithms and techniques for use in analysis and production.
• Client interactions: Prepare model reports for communication with internal and external clients; participate in pre-sales meetings and calls; and provide post-implementation product support
• Leadership: Provide leadership in formulating analytic solutions to existing and new business applications. Work simultaneously on multiple projects with minimal guidance from more senior staff members. Maintain a strong personal base of knowledge with relevant industry practices, trends and issues. Train and develop junior team members. Plans effectively to set priorities and manage projects, identifies roadblocks and works to get them removed, and understands the importance of meeting client/internal deadlines.

• A MS Degree in a science or engineering field with 5 or more years of relevant industry experience or a Ph.D degree in a science or engineering field with 3 or more years of relevant industry experience.
• Industry and academic experience will include employing neural networks, machine learning, mathematical/statistical modeling, pattern recognition, or data mining/data analysis on real world problems.
• Strong problem solving and analytical ability.
• Excellent communication skills and the ability to work both in teams and alone with limited supervision; ability and willingness to learn new fields of mathematics, statistics, and computer science/software development.
• A statistical thinker and quick learner.
• Team orientated and at the same time has the ability to work independently with minimum direction.
• Extensive experience with Unix and at least one major programming language such as C or Java.

Contact:
Apply online at www.fairisaac.com/Fairisaac/Careers/Opportunities/, search for job posting #2592.

posted by: Susan MacDonald

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