Data Science Lead- Optimization

Mid / Senior

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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. 


Key Responsibilities:

  • 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 

Desired Profile:

  • 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).

Compensation Range: Upto $180k


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