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Statistical Modeling Jobs (NOW HIRING)

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

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

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Experian Payments

Senior Data Modeling Analyst - Remote

$88K - $111K/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 ...

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

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

Ra

Marketing Analytics Consultant

Raleigh, NC

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 ...

Ra

Marketing Analytics Consultant

Dallas, TX

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 ...

Ra

Marketing Analytics Manager

Phoenix, AZ

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 ...

Ra

Marketing Analytics Manager

New Providence, NJ

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 ...

Ra

Marketing Analytics Manager

Sacramento, CA

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 ...

Ra

Marketing Analytics Manager

Buffalo, MO

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 ...

Ra

Marketing Analytics Manager

Chicago, IL

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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All JobsStatistical Modeling Jobs

Statistical Modeling information

See salary details

$36.5K

$55.4K

$99K

How much do statistical modeling jobs pay per year?

As of Jul 2, 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.
Data Scientists Modeling

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Posted 14 days ago

Be an early applicant

Job description

Role: Data Scientists Modeling
Location: Dearborn, MI (Hybrid)
Duration: Long term
Rate: Market

What You'll Do: 
•    Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. 
•    Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. 
•    Translate complex business questions and challenges into well-defined data science problems and analytical tasks. 
•    Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). 
•    Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
•    Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
•    Iterate on models and approaches based on performance feedback and evolving business requirements. 
•    Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.
Skills Required:
•    Demonstrated ability to deal with and process data from real-world sources. 
•    Experience performing Exploratory Data Analysis (EDA). 
•    Experience with model development (statistical modeling, machine learning). 
•    Familiarity with the process of deploying models into production or working alongside teams that do. 
•    Proven ability to translate business questions into data-driven problems.
•    Ability to translate data analysis results and model insights into clear, business-oriented solutions. 
•    Proficiency in at least one major programming language used in data science (e.g., Python, R).
Skills Preferred:
•         Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
•         Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Experience Required:
•         Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
Experience Preferred:
•         Experience in Auto Industry