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Statistical Modeling Analyst Jobs (NOW HIRING)

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE

$85K - $104K/yr

Excellent analytical and problem-solving abilities, with keen attention to detail. * Effective ... in statistical modeling, machine learning, or data science, including managing large-scale ML ...

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Excellent analytical and problem-solving abilities, with keen attention to detail. * Effective ... in statistical modeling, machine learning, or data science, including managing large-scale ML ...

CoAction

CAT Modeling Analyst

Morristown, NJ

Provide CAT modeling and analytical support to home office business leaders, corporate CAT ... Strong analytical and quantitative background; sound understanding of probability or statistics

CoAction

CAT Modeling Analyst

Morristown, NJ · On-site

Provide CAT modeling and analytical support to home office business leaders, corporate CAT ... Strong analytical and quantitative background; sound understanding of probability or statistics

Experian Payments

Senior Data Modeling Analyst - Remote

$88K - $111K/yr

Build statistical and machine learning models through all phases of development, from design ... Interpret results of analyses, identify trends and issues and recommend alternatives to support our ...

New York University

Data Modeling Analyst

Manhattan, NY · On-site

$76K - $93K/yr

Utilize available data sources to design and develop statistical models to analyze past data and to predict future behavior. Provide quantitative analysis of various alternatives to ensure new ...

New York University

Data Modeling Analyst

New York, NY · On-site

$76K - $93K/yr

Utilize available data sources to design and develop statistical models to analyze past data and to predict future behavior. Provide quantitative analysis of various alternatives to ensure new ...

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Build statistical and machine learning models through all phases of development, from design ... Interpret results of analyses, identify trends and issues and recommend alternatives to support our ...

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Statistical Modeling Analyst information

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How much do statistical modeling analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for statistical modeling analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What types of projects or team collaborations can a Statistical Modeling Analyst expect in this role?

As a Statistical Modeling Analyst, you will often work on projects such as developing predictive models, analyzing large datasets, and creating reports to guide business strategies. Collaboration is common, as you'll frequently partner with data engineers, business analysts, and stakeholders from departments like marketing or finance to define modeling objectives and interpret results. You may be involved in regular meetings to discuss data trends, troubleshoot issues, and present your findings to both technical and non-technical audiences. This dynamic, team-oriented environment fosters learning, exposure to diverse business problems, and opportunities for career growth as your expertise increases.

What is a Statistical Modeling Analyst job?

A Statistical Modeling Analyst uses mathematical and statistical techniques to analyze data and create predictive models that help organizations make informed decisions. They work with large datasets, identify patterns, and develop models to forecast trends or optimize business processes. This role often requires expertise in programming languages like Python, R, or SQL and proficiency in machine learning techniques. Analysts collaborate with cross-functional teams to translate data insights into actionable strategies. Industries such as finance, healthcare, marketing, and technology rely heavily on their expertise to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Statistical Modeling Analyst position, and why are they important?

To thrive as a Statistical Modeling Analyst, you need a solid foundation in mathematics, statistics, and data analysis, typically supported by a degree in a quantitative field such as statistics, mathematics, or economics. Proficiency in statistical software tools like SAS, R, Python, and data visualization platforms is highly valued, along with relevant certifications such as SAS Certified Specialist or similar. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for translating complex data into actionable insights. These abilities allow Statistical Modeling Analysts to provide accurate analyses, facilitate better business decisions, and collaborate effectively with cross-functional teams.

More about Statistical Modeling Analyst jobs
What states have the most Statistical Modeling Analyst jobs? States with the most job openings for Statistical Modeling Analyst jobs include:
What job categories do people searching Statistical Modeling Analyst jobs look for? The top searched job categories for Statistical Modeling Analyst jobs are:
Statistical Modeling Analyst jobs near you
Infographic showing various Statistical Modeling Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $70,450 per year, or $33.9 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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