Data Science Lead- Optimization

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)

Equal Employment Opportunity

It is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws.

Equal Opportunity & Affirmative Action Employer Disabled/Veteran