Lead Analytic Scientist

About the role

The Opportunity In this role, you will be a member of a highly talented team of engineers and scientists enabling advanced predictive models deployed into cloud-based real-time transaction processing systems. You will be a contributor to FICO products and strategic initiatives that involve analytic innovation with a strong focus on building, testing, and deploying advanced analytics for the FICO Platform. You will have the opportunity to build industry leading solutions and stay at the forefront of modern AI and ML technologies.

Responsibilities

• Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.
• Research and select appropriate statistical methods and computational algorithms.
• Build and/or oversee teams building high-end analytic models for relevant problems using statistical modeling techniques.
• Manage these projects under time constraints, working with other teams within FICO to provide high quality support to enable integration and deployment of analytics software and solutions.
• Auxiliary tasks include assisting with model go-lives by performing production data validations and analysis of models in production. Assist with client meetings to investigate and resolve problems. Apply data mining methodology in thorough analyses of model behaviors and provide support for customer meetings, model construction and pre-sales. May also participate in post-implementation support.

Requirements

• MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with significant years of hands-on related experience in predictive modeling and data mining.
• Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.
• Proven ability to lead cross functional teams on medium to large scale projects and handling client interactions requiring strong communication skills.
• Strong scripting experience using Perl, Bash, or similar.
• Experience working with two of the following: Java, Python, C++, C.
• Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.
• Prior experience with real-time payment transactional data, including understanding of data field availability, timing, and format requirements for downstream analytics, is a plus.

Qualifications

• Targeted base pay range for this role is: $122,500 to $192,500 with this range reflecting differences in candidate knowledge, skills and experience.

Benefits

The offer to you includes an inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

Schedule

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Pay

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Benefits

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Skills

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Benefits

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FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate's profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy.