When you join Sallie Mae, you become a champion for all students.

We’re on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We’re changing. Because students need a better way.

We’re looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students—and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It’s where you’re empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you—from physical and mental to financial and professional. You’ll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We’re obsessed with impact and making a real difference. For us, that means putting relationships first, asking “why not?” when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

Job Responsibility Overview

This new hire is an integral part of Marketing Data Science Modeling team at Sallie Mae. He/she will frequently interact with senior management and gain high visibility across the firm. The new hire will be responsible for every element of the end-to-end model lifecycle, spanning from data collection, EDA, model development, testing, implementation, monitoring, validation to other ad-hoc analytics. The corresponding deliveries are to facilitate and to optimize the marketing-related decision-making process, marketing strategy design & execution, marketing campaign planning, financial valuation, and other key marketing mandates. The successful candidate should have a solid quantitative background in the fields related to statistics, marketing analytics, econometrics, computer science or machine learning. He/she should possess high level quantitative modeling skillsets, such as but not limited to Regressions, Multivariate Testing, Bayesian Estimation, Machine Learning (Supervised & Unsupervised), Reinforcement Learning, Causal Inference, Market Equilibrium Theory and Experimental Design. The candidate will be expected to build robust quantitative models end-to-end in accordance with industry standard practice and company policy within the internal and external regulatory compliance framework. He/she is expected as a strong programmer (Python/SAS/SQL/R) who can independently complete complex and sophistical algorithms to support statistical analytics and computation needs. This new hire should be able to articulate complex quantitative concepts and to translate such quantitative terms into layman’s terms.  

Please note this position is a hybrid position, which requires office attendance 3 days a week. The office attendance requirement is subjective to the future change of company's policy.

What You'll Do

Model Development, Research and DocumentationDevelops quantitative models for audience targeting, customer behavior analysis, or other quantitative marketing mandatesResearches on state-of-the-art modeling methodologies, to help expand the variety of internal modeling approachPresents data-driven marketing insights to senior management and other internal committeesPartners with internal Marketing Strategy teams in all areas including Experimentation, Measurement and Customer Behavior Study   Documents models in accordance with Model Risk Management Policies and ProceduresMonitors, tests, and updates the models on a routine basis  Model ValidationCommunicates model methodology details with internal model validation teams and internal audit teamsCarries out ad-hoc quantitative analysis in response to model validation inquiresAd Hoc AnalysisResponds to data analytics-related requests from senior managementDevelops presentations and analysis to support internal operational changes, board of director updates and external groups inquiriesMeasures marketing performance across different marketing channels

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What You Have

Minimum Education, Skills and Experience Required

Master’s degree in a quantitative field such as Statistics, Marketing Analytics, Mathematics, Engineering, or other quantitative fields of study; or bachelor’s degree in STEM fields additionally with 2+ year of marketing-related working experience.1+ years of model development experience in financial services industry or marketing industry is a must. Outstanding fresh graduates with a Ph.D. degree in STEM field are welcome to apply.1+ years of working experiences with quantitative modeling using Python, AWS, SAS, SQL, and/or R.In depth knowledge of quantitative technique, included but not limited to Regressions, A/B Testing, Segmentation Recommendation, Multivariate Testing, Bayesian Estimation, Machine Learning (Supervised & Unsupervised), Reinforcement Learning, Causal Inference, Market Equilibrium Theory and Experimental Design.Strong oral and written communication skills required to effectively and concisely present key findings to senior management.Hands-on experience in data visualization via PowerPoint, Tableau, Excel, Power BI, etc.A flexible mindset, a proactive attitude and a strong desire to be future subject matter expert.Accountable for the successful and timely completion of assigned tasks and projects.Empathy to customer experience and being thoughtful about what we can do to improve it.

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the “essential functions” of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.

 

Feeling your best helps you do your best:Our benefits take care of the whole you—so you can build your work around your life (not the other way around!).

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

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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. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.