Sallie Mae · 13 hours ago
Principal Data Scientist
Sallie Mae is a champion for students, aiming to revolutionize education services. They are seeking a strategic and visionary Principal Data Scientist to lead data science initiatives, drive advanced analytics, and foster a culture of data as a product.
Financial ServicesHigher Education
Responsibilities
Define and execute the data science strategy that enables SallieSM’s mission to help students and families access education resources
Serve as the data science thought leader—partnering with senior leadership to identify, prioritize, and deliver high-impact analytical solutions
Mentor and coach data scientists and analysts, fostering a culture of curiosity, rigor, and innovation
Build, evaluate, and deploy advanced ML models and generative AI systems (including LLM applications) to drive customer engagement and personalization
Develop frameworks for experimentation, causal inference, and optimization that inform product and marketing decisions
Ensure responsible AI practices and interpretability across all modeling efforts
Partner with engineering and product teams to design scalable data pipelines, feature stores, and analytical platforms
Lead the evolution of data into managed products—complete with ownership, lifecycle, and measurable value delivery
Define the architecture for model deployment, monitoring, and continuous improvement
Translate complex analytical outputs into actionable recommendations that shape marketing strategy, customer acquisition, and retention efforts
Partner with finance and business operations to develop forecasting and performance models
Identify opportunities to monetize data responsibly and ethically through new data products and partnerships
Stay ahead of trends in AI, MLOps, and data monetization; drive adoption of emerging techniques across teams
Champion data ethics, governance, and compliance standards that align with Sallie Mae’s trusted brand
Contribute to building the data-driven foundation that powers SallieSM’s growth and competitive edge
Qualification
Required
Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, or related field
8+ years of experience in applied data science, machine learning, or quantitative research roles
Proven expertise in statistical modeling, machine learning, and experimental design
Strong programming proficiency in Python and SQL, with experience in tools such as PyTorch, TensorFlow, or Scikit-learn
Hands-on experience with modern data stacks (Snowflake, Databricks, AWS, or GCP)
Demonstrated ability to translate data insights into strategic business outcomes
Preferred
Experience in AdTech, MarTech, or media analytics environments
Experience deploying and scaling LLM or AI-powered applications
Familiarity with financial modeling, forecasting, or marketing attribution
Strong publication record or contributions to open-source projects
Passion for responsible AI, fairness, and data ethics
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.
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
Recent News
2026-01-12
Morningstar.com
2026-01-11
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