Senior Manager, Statistical Modeling

Responsibilities

• Design, develop and implement statistical and machine learning models and algorithms, aligning with organizational goals and digital transformation initiatives.
• Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement.
• Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring.
• Collaborate with cross‑functional teams to translate business needs into effective modeling solutions.
• Ensure models are robust, reliable, and compliant with security, privacy, and governance standards.
• Develop and implement evaluation and validation procedures to ensure accuracy, reliability, and scalability of statistical models.
• Generate regular reports and presentations to communicate results, insights, and recommendations to senior leadership and relevant stakeholders.
• Stay current with advancements in machine learning and data science, and evaluate new tools and technologies for adoption.

• Master’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.
• 5+ years of experience in statistical modeling, including hands‑on experience deploying models in production environments.
• Proficiency in statistical programming languages such as Python, R, or SAS and experience with ML frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• Strong understanding of regression analysis, time‑series analysis, predictive modeling and machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning).
• Experience with cloud‑based platforms (AWS, Azure, Google Cloud) and familiarity with data engineering, data visualization, and model evaluation techniques.
• Excellent analytical and problem‑solving abilities, with keen attention to detail.
• Effective communication and interpersonal skills, with the ability to present technical concepts to non‑technical audiences.

• Doctorate’s degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related field.
• 8+ years of experience in statistical modeling, machine learning, or data science, including managing large‑scale ML projects.
• Experience with MLOps, containerization (Docker, Kubernetes), and deploying models in enterprise environments.
• Experience with data governance, security, and compliance in ML projects.

Sallie Mae is proud to be an equal‑opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, veteran status, or any other characteristic protected by federal, state or local law.