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Statistical Modeling Jobs (NOW HIRING)

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Design, develop and implement statistical and machine learning models and algorithms, aligning with organizational goals and digital transformation initiatives. * Foster a collaborative and ...

TecTammina

Statistical Modeler

San Antonio, TX

$49.50 - $64/hr

Knowledge on Statistics and Modeling is preferred. Strong understanding of structure and knowledge of Banking and Insurance Industry Product knowledge Ability to analyze issues, identify trends and ...

Claims Conference

Statistical Programming Assistant

Prepare datasets for modeling and analysis; * Create reproducible analysis workflows (R scripts, documentation, organized outputs); * Prepare summary tables, statistical outputs, and visualizations ...

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Statistical Modeling information

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$36.5K

$55.4K

$99K

How much do statistical modeling jobs pay per year?

As of Jul 1, 2026, the average yearly pay for statistical modeling in the United States is $55,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 per year, depending on experience, location, and employer.

How much do data modelers make?

Data modelers, also known as statistical modelers, typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning or programming may earn higher salaries, especially in tech hubs or large organizations.

Are statisticians highly paid?

Statisticians are generally well-paid, with median salaries often above the national average, especially for those with advanced skills in statistical software, programming, and data analysis. Salaries vary based on experience, education, industry, and location, but the profession is considered financially rewarding compared to many other roles in data analysis and modeling.

What are some common challenges faced by professionals in statistical modeling roles, and how can they be managed?

Professionals in statistical modeling often encounter challenges such as dealing with incomplete or messy data, selecting the most appropriate modeling techniques, and clearly communicating complex results to non-technical stakeholders. Managing these challenges typically involves collaborating closely with data engineers and domain experts, employing robust data cleaning practices, and staying up-to-date with new statistical methods. Additionally, effective communication skills are essential for translating technical findings into actionable business insights, ensuring that modeling efforts drive real-world impact.

What do statistical models do?

Statistical modeling involves creating mathematical representations of data to analyze relationships, make predictions, and inform decision-making. Professionals in this field use tools like regression analysis and statistical software to interpret complex data sets and support evidence-based conclusions.

What is statistical modeling?

Statistical modeling is the process of using mathematical models and statistical techniques to analyze data, identify patterns, and make predictions or inferences. It involves building models that represent relationships between variables in real-world systems. These models can be used for forecasting, hypothesis testing, and decision-making in various fields such as business, science, and engineering. Statistical modeling helps turn raw data into actionable insights by quantifying uncertainty and highlighting significant trends.

What are the key skills and qualifications needed to thrive as a Statistical Modeler, and why are they important?

To excel as a Statistical Modeler, a solid background in statistics, mathematics, and data analysis—often supported by a degree in a quantitative field—is essential. Proficiency with statistical software such as R, Python, SAS, or SPSS and familiarity with data visualization tools are typically required. Strong problem-solving skills, critical thinking, and effective communication help convey complex findings to non-technical stakeholders. These skills ensure accurate model development, actionable insights, and effective decision-making based on data.

What is the difference between Statistical Modeling vs Data Analyst?

AspectStatistical ModelingData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; proficiency in statistical softwareDegree in data science, statistics, or related; strong analytical skills
Work EnvironmentResearch, academia, or data-driven industries; focus on model developmentBusiness, marketing, or finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in industries requiring predictive models and complex analysisUsed across various industries for data reporting and insights

Statistical Modeling involves creating mathematical models to understand data patterns and make predictions, often requiring advanced statistical knowledge. Data Analysts focus on interpreting data, generating reports, and providing actionable insights. While both roles work with data, Statistical Modeling emphasizes model development, whereas Data Analysts concentrate on data interpretation and presentation.

Is AI replacing statisticians?

Statisticians play a key role in designing experiments, analyzing data, and interpreting results, and AI tools are used to enhance these tasks rather than replace the profession. AI can automate routine data processing, but statisticians are needed for complex modeling, decision-making, and ensuring data quality. Proficiency in statistical software and programming languages like R or Python remains essential for the job.
More about Statistical Modeling jobs
What cities are hiring for Statistical Modeling jobs? Cities with the most Statistical Modeling job openings:
What states have the most Statistical Modeling jobs? States with the most job openings for Statistical Modeling jobs include:
What job categories do people searching Statistical Modeling jobs look for? The top searched job categories for Statistical Modeling jobs are:
Statistical Modeling jobs near you
Infographic showing various Statistical Modeling job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $55,350 per year, or $26.6 per hour.

Senior Manager, Statistical Modeling

Sallie Mae Bank

Newark, DE • On-site

$85K - $105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

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.
What You'll Contribute
The Senior Manager, Statistical Modeling will be responsible for developing and implementing advanced statistical models and methodologies to analyze complex data sets, extract insights, and provide actionable recommendations.
What You'll Do
  • Design, develop and implement statistical and machine learning models and algorithms, aligning with organizational goals and digital transformation initiatives.
  • Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement.
  • Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into effective modeling solutions.
  • Ensure models are robust, reliable, and compliant with security, privacy, and governance standards.
  • 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.
  • Communicate results, insights, and recommendations to stakeholders through reports and presentations.
  • Stay current with advancements in machine learning and data science, and evaluate new tools and technologies for adoption.

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: Indicate minimum education, skills and experience required.
  • Master's degree in Statistics, Mathematics, Data Science, Computer Science, Data Science, Machine Learning, or a related field.
  • 5+ years of experience in statistical modeling, including hands-on experience developing and deploying models in production environments.
  • Proficiency in statistical programming languages such as Python, R, or SAS, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms(supervised, unsupervised, deep learning, reinforcement learning).
  • Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with data engineering, data visualization, and model evaluation techniques.
  • Excellent analytical and problem-solving abilities, with keen attention to detail.
  • Effective communication and interpersonal skills, with the ability to present technical concepts to non-technical audiences.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.
  • Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related field.
  • 8+ years of experience in statistical modeling, machine learning, or data science, including managing large-scale ML projects.
  • Experience with MLOps, containerization (Docker, Kubernetes), and deploying models in enterprise environments.
  • Experience with data governance, security, and compliance in ML projects.

The Americans with Disabilities Act
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

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 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 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.

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