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Statistical Modeling Jobs (NOW HIRING)

... statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). • Collaborate closely with engineering and product teams to ...

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 through training, evaluation, validation and implementation * Use a broad set of technologies: SQL ...

Consumer Behavior Modeler II

Charlotte, NC · On-site

$53.50 - $69.25/hr

Responsibilities : • Demonstrates an advanced understanding of statistical modeling requirements expressed in a technical language and executes per a specified plan and timeline • Builds basic ...

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 through training, evaluation, validation and implementation * Use a broad set of technologies: SQL ...

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

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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 Jun 11, 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.

Is statistician a high paying job?

Statisticians typically earn higher-than-average salaries compared to many other professions, with median annual wages often exceeding national averages. Salaries vary based on experience, education, industry, and location, and advanced skills in statistical software and data analysis can lead to higher compensation.

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 is the salary of a data modeler?

A data modeler, a role within statistical modeling, typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Advanced skills in data analysis, database management, and tools like SQL or Python can influence salary levels.

Is 40 too late for data science?

Age is not a barrier to entering statistical modeling or data science careers. Many professionals successfully transition into data science later in life by developing relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and problem-solving ability, making age less relevant than skills and continuous learning.

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.

What does statistical modeling do?

Statistical modeling involves creating mathematical representations of data to analyze relationships, make predictions, and inform decision-making. In a statistical modeling job, professionals use tools like R or Python and apply techniques such as regression or classification to interpret complex data sets. This process helps organizations understand trends and support strategic planning.
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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:
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 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $55,350 per year, or $26.6 per hour.
Quantitative Analytics Tech Lead - Economic Modeling

Quantitative Analytics Tech Lead - Economic Modeling

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 3 days ago


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.

Our Impact:

The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.

Your Impact:

Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.

Our Impact:

The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.

Your Impact:

The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities.

Your Work Falls Into Four Primary Categories:

Model Development and Research

Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products

Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior

Conducting research on industry models, market conditions, and regulatory environment.

Portfolio Analysis

Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.

Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.

Model Governance

Preparing model documentation and conducting thorough model validation tests.

Developing on-going performance monitoring and threshold methodology.

Business Support

Providing analytics support for trading and hedging activities.

Working under limited direction, independently determining and developing approach to solutions.

Qualifications:
  • Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.

  • 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.

  • Post-graduate work experience in mortgage valuation and statistical modeling

  • Programming skills in one or more of Python, R, SAS or related languages

  • Exceptional quantitative, empirical analysis, and research skills

  • Experience working with large data sets and relational database

  • Experience in statistical model development and implementation is preferred

Keys to Success in this Role:

Exceptional quantitative, empirical analysis, and research skills

Strong knowledge of survival analysis and mortgage valuation

Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing

Top 3 Personal Competencies to Possess:

Drive for Execution - Execute effectively with a clear direction and objective, good ownership

Partnership - Build trust and strong partnerships within the team; good team player

Leadership - Set and execute upon a clear vision and goals; good communication, interpersonal, and leadership skills

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $144,000 - $216,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970