Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.
The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.
Nelnet is looking for a talented Data Scientist to help solve high-value business problems through advanced analytics, statistical modeling, and modern AI-driven solutions. As part of Nelnet’s Data Science team, you will work on complex, high-impact initiatives that support financial decision-making across the organization.US Citizenship and the ability to obtain a Federal security clearance are required for this role.
Nelnet believes in a hybrid work environment that accommodates both in-office and remote work. This model promotes a positive work-life balance and culture, enabling in-person collaboration when possible while also providing benefits associated with remote work. The standard hybrid work schedule includes a 24/16 hour (in-office/work-from-home) split for associates that reside within 30 miles of an office. This is subject to change, based on manager discretion.
JOB RESPONSIBILITIES:
1. Build, enhance, and validate financial and statistical models that support forecasting, performance analysis, and strategic decision-making.
2. Conduct deep-dive analyses to uncover trends, drivers, risks, and opportunities within financial and operational data.
3. Develop predictive models, algorithms, and analytical tools using Python and related data science libraries.
4. Work with large, complex datasets across SQL databases, AWS environments, internal systems, external APIs, and flat files.
5. Clean, transform, join, and engineer data to support robust, scalable modeling and analytics solutions.
6. Identify and evaluate new data sources from internal, external, and public datasets to strengthen models and analyses.
7. Create dashboards, visualizations, and reporting tools in Power BI or ShadCN to communicate insights clearly and effectively.
8. Present findings and recommendations to stakeholders at all levels, including senior leadership.
9. Improve team efficiency by automating manual processes and building reusable analytical workflows.
10. Stay current on emerging techniques in data science, financial analytics, machine learning, and AI.
11. Contribute to a collaborative team environment by mentoring junior team members and sharing best practices.
EDUCATION:
Bachelor’s degree required in a Quantitative or Programming discipline. Quantitative disciplines are those that require a heavy amount of mathematics, statistics or analysis, including (but not limited to) fields such as Math, Physics, Finance or Economics.
EXPERIENCE:
- Data Scientist I: 2+ years of relevant experience in data analysis, modeling, or data science, or completion of a bachelor’s/master’s degree program specifically in Data Science or a related field with strong applied project experience
- Data Scientist II: 5+ years of relevant experience in data science, analytics, modeling, or a closely related discipline
- 2+ years of hands-on programming experience, preferably in Python
- Experience working with large, complex datasets and modern analytics tools
COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:
1. Strong analytical and problem-solving skills with the ability to synthesize complex data into clear recommendations
2. Advanced proficiency in SQL and Python. Experience working with database and ETL tools. Experience with JavaScript, especially visualization packages like ShadCN, is a plus.
3. Experience building, testing, deploying, and monitoring predictive or statistical models in a business setting
4. Strong understanding of statistical methods, modeling techniques, and quantitative analysis
5. Experience with financial modeling, forecasting, scenario analysis, or related business modeling frameworks
6. Experience with data pipelines, ETL processes, and relational databases
7. Familiarity with cloud-based environments, preferably AWS
8. Experience with business intelligence and visualization tools, preferably Power BI or ShadCN
9. Excellent written, verbal, and interpersonal skills for coordinating across teams. Polished presentation skills preferred.
10. Ability to manage multiple priorities in a fast-paced environment with a high degree of ownership and accountability
Starting Salary Range for this Role: $80k - $115k Annually, DOE
Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK.
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net.
Nelnet is a Drug Free and Tobacco Free Workplace.