Closing Date (MM/DD/YYYY):02/14/2025 Worker Type:Permanent Language(s) Required:English Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$117,887 - $159,495 Experienced data scientist needed:Collaborate with cross-functional teams to define data requirements and ensure data quality. As a Principal Data Scientist, you’ll lead the design and development of digital twin frameworks, ensuring seamless integration with existing systems. Plus, you’ll lead the development and implementation of data science projects that focus on large datasets, applying advanced statistical and machine learning techniques to extract insights from complex data. What you’ll do:lead and mentor data teams to find problems, and to solve and opportunities to capitalize on within huge and diverse datasetsunlock insights from the most complex and diverse groupings of internal and external data, and to tell a story with the data that enables enlightened decision making at all levels of the organizationuse advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and find ways to improve FCC through data What we’re looking for:Enterprise-wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical conceptsConfident communicator able to translate knowledge for othersExpert in statistics and mathematicsRelationship-builder comfortable making recommendations to senior leadersProven mentor who works well within a high-performing team What you’ll need:A master’s degree in one of the noted domain and at least eight years of experience (or an equivalent combination of education and experience)Expert knowledge of risk management and finance areas such as, credit risk, allowance for credit losses, economic capital, and stress testingDemonstrated ability to work with huge data sets and use sophisticated big data and machine learning techniques and technologiesMastery of one or more predictive and descriptive analytics tools and techniques