Manager of Data Science - Pittsburgh, PA
About The Position
The Manager of Data Science develops, maintains, and enhances statistical and economic regulatory models to improve organizational performance. The role extracts, manipulates, and models large volumes of data to support business decisions and efficiencies, and applies data science techniques to advance the organization’s analytical maturity toward predictive and prescriptive analytics. The position leads and manages a team of data scientists, partners with senior business leaders, and collaborates with model validation teams. It also supports regulatory compliance and the company’s risk management program, including understanding, reporting, responding to, managing, and monitoring business risks.
Requirements
- Master of Arts or Master of Science degree.
- At least 7 years of job-related experience.
- Fluent in SQL, Python, and LaTeX.
- Proficient in data manipulation, mathematics, and machine-learning concepts.
- Experience building machine-learning solutions.
- Excellent written and verbal communication skills.
- Excellent organizational, analytical, and interpersonal skills.
- Detail-oriented, with strong problem-solving skills.
- Excellent project-management and management skills.
- Intermediate-level proficiency in MS Excel and MS PowerPoint.
- Ability to use a personal computer and job-related software.
- Passion for data.
- Must be legally authorized to work in the United States; employment-based visa sponsorship is not provided.
- Must be local to Pittsburgh, Pennsylvania, or willing to relocate; the role is on-site.
Responsibilities
- Develop, maintain, and enhance econometric regulatory models, including CECL and stress-testing models, for critical applications.
- Develop, maintain, and enhance machine learning models for internal clients across the organization.
- Prepare model-development documentation and collaborate with internal and external model validation teams to ensure model accuracy and approval.
- Collaborate with senior business partners and lead efforts to advance the organization’s analytical maturity toward predictive and prescriptive analysis.
- Identify ways to apply data science techniques to organizational needs and advance data-driven decision-making.
- Review and evaluate model performance regularly, recommending and performing redevelopment when appropriate.
- Create presentations on statistical models, outcomes, and implementation recommendations for senior leadership and governance committees.
- Lead and manage a team of data scientists.
- Perform other related duties and projects as assigned.
- Fulfill risk-management responsibilities and comply with applicable regulatory laws, guidelines, and company procedures.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
