About the job
Description
Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.
In This Role, You Will
- Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies* Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes* Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities* Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions
A Successful Incumbent Will Have
- Master’s degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 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 by applying critical thinking and advanced technical & statistical programming techniques* Proficient in Python with 5+ years of applied experience * Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)* A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods * Excellent communication skills with both technical and non-technical audiences* Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects * Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker* A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment* Commitment to intellectual rigor and observance of compliance and data privacy controls* A disciplined approach to making decisions and setting expectations* Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data* Experience working with financial datasets (preferred)