Sallie Mae · 15 hours ago
Manager, Statistical Modeling
Newark, DE
Full-time
Hybrid
Mid, Senior Level
3+ years expSallie Mae is dedicated to empowering students through their educational journeys. The Manager, Statistical Modeling will lead a team of statistical analysts to develop and implement statistical models and methodologies that align with the organization's goals.
Financial ServicesHigher Education
Responsibilities
Contribute to the development and execution of the statistical modeling strategy, aligning it with the organization's goals and objectives
Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement
Design and develop statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems
Analyze and interpret large and diverse data sets to identify patterns, trends, and correlations
Develop and implement evaluation and validation procedures to ensure the accuracy, reliability, and scalability of statistical models
Generate regular reports and presentations to communicate results, insights, and recommendations to senior leadership and relevant stakeholders
Qualification
Required
Master's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field
3+ years of experience in statistical modeling, including experience with developing and implementing statistical models
Proficiency in statistical programming languages such as R, Python, or SAS
Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms
Familiarity with data visualization tools and techniques to effectively communicate data insights
Excellent analytical and problem-solving abilities, with a keen attention to detail
Effective communication and interpersonal skills, with the ability to collaborate with stakeholders at various levels of the organization
Preferred
Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field
5+ years of experience in statistical modeling, including experience with developing and implementing statistical models
3+ years of experience in machine learning, including hands-on experience developing and deploying ML models in production environments
Proficiency in statistical programming languages such as Python, R, or Java, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong understanding of supervised and unsupervised machine learning
Experience with cloud-based ML platforms (e.g., AWS, Azure, Google Cloud)
Benefits
Competitive base salaries
Bonus incentives
Generous PTO, Floating Holidays and 12 Federal Holidays observed
Support for financial-well-being and retirement 401k with employer match
Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
Employer paid short-term/long-term disability and basic life insurance
Flexible hybrid working arrangements.
Paid parental leave and adoption reimbursement programs
Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
Tuition Reimbursement and Family Scholarship Programs
Career development and training opportunities
Company
Sallie Mae
Sallie Mae is an American corporation that originates, services, and collects student loans.
1001-5000 employees
H1B Sponsorship
Sallie Mae has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (4)
2023 (3)
Funding
Current Stage
Public CompanyTotal Funding
unknown1983-09-30IPO
Leadership Team
Jonathan Witter
Chief Executive Officer
Munish Pahwa
EVP, Chief Risk Officer (CRO)
Recent News
Morningstar.com
2026-02-04
2026-02-03
Company data provided by crunchbase