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Statistical Modeling Analyst Jobs (NOW HIRING)

Senior Data Modeling Analyst - Remote

Costa Mesa, CA ยท 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 ...

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 ...

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 ...

Design, develop, and execute test cases for statistical modeling and analytical software applications. * Collaborate closely with quantitative engineers to investigate and resolve test case failures.

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 Analyst information

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$30K

$70.5K

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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:
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 Data Modeling Analyst - Remote

Senior Data Modeling Analyst - Remote

Experian

Costa Mesa, CA โ€ข On-site, Remote

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

You'll have opportunity to:

  • Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
  • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
  • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
  • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
  • Translate findings into applicable business recommendations for partners
  • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
  • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
  • Communicate with and deliver presentations to end-users on analysis results.
  • Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
  • Help develop analytic and data products and services, and the enhancement of current processes and offerings.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems
Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/