Join Citizens as a Data Science Lead in Optimization, where you'll leverage your analytical skills to enhance interest rates and optimize portfolio outcomes. Collaborate with various teams to develop innovative decision support systems and solutions that drive business growth.
Key Responsibilities
Design and build advanced decision support systems for business decisions
Serve as the lead modeler for machine learning models and analytic products
Develop relationships with other data scientists and partners to deliver optimization capabilities
Invest in developing deep knowledge of business decision frameworks and operational processes
Required Qualifications
Master’s degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field
8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)
Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions
Proficient in Python with 5+ years of applied experience
Proficient with optimization modeling packages and solvers (e.g. CPLEX, SCIP, Pyomo, SciPy)
Deep understanding of statistical and machine learning methods and algorithms
Excellent communication skills with both technical and non-technical audiences
Strong leadership and team management skills
Experience with cloud computing platforms (preferably AWS) and ML-related services
Experience working with large datasets (greater than 1 million records)