Lead Scientist

As a Lead Scientist in Analytic Science at FICO, you will be part of a team dedicated to solving problems using cutting-edge technology in Artificial Intelligence (AI) and Machine Learning (ML). You will work with real-world data to build industry-leading solutions and collaborate with analytical and engineering experts who share your passion for innovation. Key Responsibilities: - Work with large amounts of real-world data, ensuring data quality at all stages of acquisition and processing. - Research and select appropriate statistical methods and computational algorithms. - Build high-end analytic models for relevant problems using statistical modeling techniques. - Manage projects under time constraints, collaborating with other teams to provide high-quality support for integration and deployment of analytics software. - Perform production data validations and analysis of models in production during model go-lives. - Assist in client meetings to investigate and resolve problems, applying data mining methodology in thorough analyses of model behaviors. - Provide support for customer meetings, model construction, and pre-sales, and may participate in post-implementation support. Qualifications Required: - MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research, or natural science fields. - Significant hands-on experience in predictive modeling and data mining. - Experience analyzing large data sets and applying data-cleaning techniques. - Background in ML and AI preferred. - Demonstrable experience in at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. - Strong programming experience in languages such as Java, Python, C++, or C. - Hands-on experience working with Linux. At FICO, you will find an inclusive culture that reflects core values such as acting like an owner, delighting customers, and earning respect. You will have the opportunity to make an impact, develop professionally, and be recognized for your contributions through competitive compensation, benefits, and rewards programs. The engaging work environment encourages work/life balance, offers employee resource groups, and social events to promote interaction and camaraderie. As a Lead Scientist in Analytic Science at FICO, you will be part of a team dedicated to solving problems using cutting-edge technology in Artificial Intelligence (AI) and Machine Learning (ML). You will work with real-world data to build industry-leading solutions and collaborate with analytical and engineering experts who share your passion for innovation. Key Responsibilities: - Work with large amounts of real-world data, ensuring data quality at all stages of acquisition and processing. - Research and select appropriate statistical methods and computational algorithms. - Build high-end analytic models for relevant problems using statistical modeling techniques. - Manage projects under time constraints, collaborating with other teams to provide high-quality support for integration and deployment of analytics software. - Perform production data validations and analysis of models in production during model go-lives. - Assist in client meetings to investigate and resolve problems, applying data mining methodology in thorough analyses of model behaviors. - Provide support for customer meetings, model construction, and pre-sales, and may participate in post-implementation support. Qualifications Required: - MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research, or natural science fields. - Significant hands-on experience in predictive modeling and data mining. - Experience analyzing large data sets and applying data-cleaning techniques. - Background in ML and AI preferred. - Demonstrable experience in at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. - Strong programming experience in languages such as Java, Python, C++, or C. - Hands-on experience working with Linux. At FICO, you will find an inclusive culture that reflects core values such as acting like an owner, delighting customers, and earning respect. You will have the opportunity to make an impact, develop professionally, and be recognized for your contributions through competitive compensation, benefits, and rewards programs. The engaging work environment encourages work/life balance, offers employee resource groups, and social events to promote interaction and camaraderie.