Analytic Science Lead Scientist

About the role

FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. This role involves working with large amounts of real-world data, selecting appropriate statistical methods and computational algorithms, building and overseeing teams building high-end analytic models, managing projects under time constraints, and assisting with model go-lives and client meetings.

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.
• Assist with model go-lives by performing production data validations and analysis of models in production.
• Aid in 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.

Qualifications

The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.

Skills

• Data analysis and cleaning techniques.
• Statistical modeling techniques.
• Machine learning algorithms.
• Project management and team leadership.
• Scripting languages such as Perl, Bash.
• Programming languages such as Java, Python, C++, C.
• Neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.

Benefits

Our offer includes an inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. 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.

Pay

The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.

Schedule

Not specified.