Marketing Advanced Analytics Intern

Marketing Advanced Analytics Intern

06 Sep 2024
Delaware, Newark, 19702 Newark USA

Marketing Advanced Analytics Intern

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.Data Scientist, Marketing Advanced Analytics, InternSallie Mae is proud to help Americans aspiring to create the life they wantwhether that means helping them make college happen, or something more. Our colleagues across departments and across the country are united in our passion and our customer-first approach. Whether you want to join a growing company, be part of an agile workforce, or gain new skillsyou're in the right place.Program Overview:The Sallie Mae Internship program seeks to attract and develop exceptional early talent while adding value to our organization. Our goal is to tie academic learning into a practical business setting while fostering professional and personal growth within a student’s area of focus.Over the course of the semester, interns will gain exposure to senior leaders, attend meetings, work alongside mentors, and receive valuable performance feedback.Position Summary:This position will report to the Senior Director of Marketing Advanced Analytics Team. This position requires in depth knowledge of advanced modeling techniques (e.g. Machine Learning algorithms) and coding languages such as Python, SAS, SQL and R.The position will be expected to build robust statistical models from the ground up. All aspects of model development will be expected such as: model methodology and framework design, model data preparation and collection, model segmentation, model building, testing, implementation, model performance monitoring and model documentation. Candidate will be expected to explain model theory, purpose, and results to senior management.Key Responsibilities:Model Development and Documentation

Develop statistical models for applications in marketing using techniques such as Gradient Boosting, Random Forest, Reinforcement Learning, NLP, Topic modeling and other Machine Learning Models etc.

Document model in detail in accordance with Model Risk Management Policies and Procedures.

Work with internal and external parties to have model validated and approved by the Model Risk management committee.

Present model results to senior management and appropriate committees

Model Validation

Perform model validations for other internally built models.

Write up detailed validation reports which show the effective challenge of model design and theory used.

Present findings of validations to senior management.

Perform on-going model monitoring and model testing and update the developed model as required.

Ad Hoc Analysis

Respond to requests for data and analytics needed by senior management team.

Develop presentations and analysis for the support of operational changes.

Education:

Currently enrolled in an accredited college or university

Pursuing a Master’s or PhD degrees in Statistics, Mathematics, Financial Engineering/Mathematics, Economics or other highly quantitative degrees.

Office Presence Requirement:

Available to work up to 40 hours per week between 9/16/2024 and 3/31/2025

In-office presence is required three times per week, and subject to future company’s in-office requirement change

Knowledge, Skills, and Abilities:

Strong knowledge of modeling techniques (e.g. Machine Learning algorithms) and coding languages such as Python, SAS, SQL and R.

Strong analytical, problem solving and critical thinking skills.

Excellent interpersonal and verbal/written communication skills with individuals at all levels.

Excellent administrative skills including proficiency with Microsoft Word, Excel, Outlook, PowerPoint and web-based applications.

Strong follow through and multi-tasking skills, and attention to detail.

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

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!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 (https://salliemae.com/legal/pay-transparency-policy/) to view the U.S. Pay Transparency Policy, here (https://mandatoryview.com/productview) for federal job applicant notices, and here (https://acrobat.adobe.com/link/review?uri=urn%3Aaaid%3Ascds%3AUS%3A5637b18d-10f3-4877-a3fe-481683f1eb1c) 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.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. If you'd like more information about your EEO rights as an applicant, please click https://https/www.eeoc.gov/employees-job-applicants. https://https/www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA508c.pdf. Click https://https/www.salliemae.com/legal/pay-transparency-policy/ to view the U.S. Pay Transparency Policy.

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