You will be an integralpart of a team of scientists working closely with external clients tobuild efficient predictive models,analyzeand validate production model behavior and ensure optimal model performance.
There will be opportunities tosupport the internal technology team in development of models andget involved insales activities related to the evaluation of models for different client environments.
Sr. Manager Analytic Science
What You’ll Contribute
Buildingand evaluatingpredictive and decision models to bedeployed in production systemsor for research. This includes the analysis of large amounts of historical data, determining suitability formodeling, data clean-
up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables, performing experiments with differenttypes of algorithms and models andanalyzingperformance to identify the best algorithms to employ.
Assist with model go-lives by performing production data validations and score distribution analysis of models in production.
Apply data mining methodology in thorough analysis of modelbehaviorand provide support for customer meetings, model construction and pre-sales.
Manage projects under time and resource constraints, work with other teams within FICO (software, IT, product management, and product support) provide high quality support to enable integration and deployment of analytics software and solutions.
May participateinpost-implementation support.
What We’re Seeking
MSdegree in a statistics, engineering, mathematics, computer science, physics, operations research field (PhDpreferred).
Some related industry experiencein predictive modeling and data miningor PhD with no related experience.
Experience with Perl / Python, C, C , or Java and familiarity with basic software design principles and coding standards and best practices.
Experience analyzing large datasets and applying data-cleaning techniques along withperforming statistical analyses leading to the understanding of the structure of datasets.
Experience with Apache Spark is a plus.
Prefer knowledge ofsomeof the following : Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, SVM.
Our O ffer t o You
A culture and work environment strongly reflectingour corevalues : Actlike an Owner, Delight Our Customers and Earn the Respect of Others.
The opportunity to make a difference by leveraging your unique strengths.
Highly competitive compensation and rewards.
Flexible work options, opportunities to give back to your community, social events with colleagues and a comprehensive benefits program inclusive of progressive parental leave.
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics.
You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, predictive and prescriptive modeling, and much more.
FICO makes a real difference in the way businesses operate worldwide :
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue.
We support many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success.
Our success is dependent on really talented people just like you who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment.
We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!