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Statistical Modeling Jobs (NOW HIRING)

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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.
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:
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.
Statistical Analyst

Statistical Analyst

American Heart Association

Dallas, TX • On-site, Remote

$75K - $85K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


American Heart Association rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

30th of 681 rated non-profit organizations


Job description

Overview

Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today's biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.

The American Heart Association has an excellent opportunity for a Statistical Analyst based out of our National Center. This position can be home-based.  

This is a full time, benefits eligible, grant funded opportunity. Current funding will expire on 6/30/2030, with the possibility of extension.

The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as additional training and support, locally.

#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.

Responsibilities

We are seeking a data science analyst/ biostatistician to use data science tools and methodologies to identify and analyze real-world healthcare data for scientific research in precision medicine. You will work in a highly collaborative environment, closely collaborating with American Heart Association scientists, clinical and research volunteers, and program managers to creatively solve challenges in medical research using state-of-the-art tools and methodologies.

  • Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease.
  • Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs).
  • Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and other AI-driven techniques.
  • Utilize AI-assisted tools to facilitate code review and maintain rigorous standards for reproducibility and transparency
  • Prepare summary reports, manuscripts, and visualizations for internal and external dissemination.
  • Contribute to the preparation of peer-reviewed journal articles and presentations for scientific meetings.
  • Serve as a technical/topical expert, champion, consultant, and liaison to Association stakeholders and external peers.
  • Attend relevant external conferences, and attend/co-lead consultative sessions with volunteer Task Force and other Association volunteers/experts.
  • Contribute landscape and topical expertise to the development and execution of comms plan/strategies, including networks to engage, written pieces, workshop planning, and publication strategies.
Qualifications
  • Master's or PhD degree in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or a related field
  • Minimum of 3 years of experience with R or Python for statistical computing and data analysis.
  • Experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries.
  • Experience in both traditional statistical modeling and machine learning techniques.
  • Minimum of 2 years of experience analyzing real-world patient data in clinical or research settings.
  • Experience writing and executing Statistical Analysis Plans
  • Hands-on experience with cloud-computing platforms (e.g., AWS, Azure, GCP) for data processing and analysis.
  • Strong skills in managing and analyzing large-scale, complex clinical datasets.
  • Excellent oral and written communication skills, with the ability to effectively communicate technical/statistical information to both technical and non-technical stakeholders
  • Highly effective organizational skills, time management, responsibility, and motivation
  • Ability to travel up to 10%, including occasional overnight stays.

Preferred Experience: 

  • Python programming language
  • Cardiovascular Data Analysis
  • Experience working in a healthcare or research environment
Compensation & Benefits

The expected pay range will be $75,000 - $85,000. Pay is commensurate with experience; geographic differentials to the pay range may apply. The American Heart Association reserves the right to pay more or less than the posted range. The American Heart Association invests in its people. Here are the main components of our total rewards package. Visit Rewards & Benefits to see more details.

  • Compensation - Our goal is to ensure you have a competitive base salary.  That's why we regularly review the market value of jobs and make adjustments, as needed.
  • Performance and Recognition - You are rewarded for achieving success through annual salary planning and incentive programs;  eligibility for an incentive program is based on the type of position.  
  • Benefits - We offer a wide array of benefits including medical, dental, vision, disability, and life insurance, along with a robust retirement program that includes an employer match and automatic contribution.  As a mark of our commitment to employee well-being, we also offer an employee assistance program, employee wellness program and telemedicine, and medical consultation.
  • Professional Development - You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program.  Heart U is the Association's national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
  • Work-Life Harmonization - The Association offers Paid Time Off (PTO) at a minimum of 16 days per year for new employees.  The number of days will increase based on seniority level.  You will also have a total of 12 paid holidays off each year, which includes several days off at the end of the year.
  • Tuition Assistance - We support the career development of all employees.  This program provides financial assistance to employees who wish to further their education and career in relation to their current duties and responsibilities, or for potential future positions in the organization.
 

The American Heart Association's 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health, by 2028 the Association will drive breakthroughs and implement proven solutions in science, policy, and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.

At American Heart Association | American Stroke Association, our mission is to be a relentless force for a world of longer, healthier lives, regardless of race, ethnicity, gender, gender identity, religion, age, language, sexual orientation, national origin and physical or cognitive abilities.This position not a match with your skills?  Click here to see other opportunities.

In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.

EOE/Protected Veterans/Persons with Disabilities

#AHAIND3, #LI-RemoteEmployment Type: OTHER

American Heart Association logo

About American Heart Association

Sourced by ZipRecruiter

\#TheAHALife is our company culture, our way of life, reflecting our diversity and inclusion, our focus on work-life harmonization and our Guiding Values. Discover why you will Be Seen. Be Heard. Be Valued™ at the American Heart Association by following us on LinkedIn, Instagram, Facebook, Twitter, and at heart.org.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1924