Manager of Data Science & Analytics

Overview & Responsibilities

• Deliver advanced analytical solutions using advanced statistical and machine learning techniques to drive optimized business outcomes.
• Play a key role within a small close-knit team, assuming full responsibility for the day-to-day administrative, operations, compliance, sales leadership, growth, performance, and profitability of a branch office.
• Be involved in a managerial training program to enhance skills and encourage internal advancement.
• Collaborate with Credit Risk, Marketing, Branch Operations, Account Management, and other functions to identify specific business problems to address.
• Partner with business teams to help with Design of Experiments (DOE) and successful incorporation of the solutions into business strategies.
• Perform exploratory analysis or leverage the analysis shared by the business functions to brainstorm various advanced analytical solutions.
• Build highly adoptable and efficient data pipelines.
• Perform data extraction, standardization, transformation, and further data wrangling to prepare the data to apply advanced machine learning or statistical techniques.
• Apply advanced machine learning and statistical techniques to develop, validate, deploy, and monitor/maintain predictive models.
• Create and maintain a comprehensive model documentation in a centralized location.
• Use traditional credit bureaus and other alternative consumer credit data for building consumer lending models such as:
  Probability of Marketing Response, Probability of Loan Default, Loss Given Default, and CECL Loss Forecasting.
• Present model development packages and results to executives and senior managers.
• Seek the approval for implementation by presenting compelling business benefits from the solutions.
• Work with IT and ensure successful deployment of solutions in the decision engine, including data mapping, providing requirements for data parsing/storage, validating scoring models in production, and troubleshooting to resolve issues.
• Create model governance packages once a quarter to monitor stability of the predictive models and share with executives and senior leaders.

• Master's degree in Engineering, Data Analytics, Data Science, Computer Science, or related technical field required.
• Five years of experience in consumer lending required.
• Any experience required with:
  Python, SQL, and a data visualization program (i.e., Tableau, Power BI); delivering innovative/effective solutions to address business problems; handling and processing large datasets; working with data processing frameworks; building reliable data pipelines; building advanced analytical solutions using best-in-class machine learning and statistical modeling techniques (i.e., Random Forest, Gradient Boosting, LASSO, Elastic Net); supervised and unsupervised learning techniques; working with data from various bureaus and third-party data providers;
  
  and with structured, semi-structured, and unstructured data.
• Must have legal authority to work in the U.S. EEOE.

Resume to:
Tara Dowie, Talent Management Manager, Republic Finance, LLC, 7031 Commerce Circle, Suite 100, Baton Rouge, LA 70809 or  Reference PK25 + job title in cover letter/subject line.