Jobs

Job Description:
Fair Isaac's Marketing Decision Management solutions help companies make smarter and more automated decisions across all channels, customer segments, and stages of the customer relationship lifecycle. From cross-sell automation and promotion mix optimization to organizational design and operational execution, our solutions ensure that every customer interaction, transaction and insight is doing its part to engender customer loyalty and realize untapped customer value.

We currently offer an exciting opportunity for Analytic Science Manager who will:

• Design, plan, develop, coordinate and direct analytic work done on highly visible, multi-million dollar engagements.
• Related to customer segmentation, response/revenue/attrition modeling, experimental design, product affinity analysis, and/or pre-market offer testing.
• Manage the analytic components of the project, including project schedules, workflow, and direction to the analytic team.
• Provide analytic leadership in thinking through key project decisions.
• Ensure the client's business objectives are incorporated into the analytic plan.
• Communicate key analytic findings to client and address client's analytic concerns under Delivery Manager’s guidance.
• Effectively balance the trade-off between analytic quality and speed/cost of production.
• Serve as mentor and foster the career development of entry and intermediate-level professional staff members.
• Represent the company at industry conferences or academic conventions; promote the company through public speaking and/or writing articles.
• Investigate newly developed technologies and methodologies from throughout the Fair Isaac analytic community for potential application to existing or planned products of the Unit.
• Maintain a strong personal base of knowledge with respect to analytic techniques, decision management technology, industry practices, trends and issues.

This position requires:

• Minimum 4 years experience in a role leading and managing analytic projects.
• Bachelor’s Degree in Math, Statistics, Operational Research, Computer Science or a technical field.
• Experience with predictive modeling, segmentation, experimental design, and optimization.
• Knowledge of the principles and practices of project management, and work scheduling.

• Communicate clearly and effectively both orally and in writing with persons having diverse backgrounds of knowledge and experience; conduct meetings and make professional presentations; teach complex concepts and explain technical material to non-technical users.
• Adjust to a fluctuating work load; withstand pressure of deadlines, operating problems and interpersonal tensions; Organize and manage time and resources; establish priorities and coordinate work on many projects simultaneously.