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Statistical Modeling Jobs (NOW HIRING)

Think Tank, Inc.

Statistician

Seattle, WA · On-site

Develop novel probabilistic mathematical and simulation models representing complex ecological and behavioral processes with modern statistical methods. * Provide statistical support to other ...

Ra

Marketing Analytics Manager

Seattle, WA

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 Senior Manager

El Segundo, CA · On-site

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

Cleveland, OH

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

Detroit, MI · On-site

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

Raleigh, NC · On-site

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 Senior Manager

San Jose, CA · On-site

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

Houston, 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

Pittsburgh, PA · On-site

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

El Segundo, CA · On-site

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 ...

Think Tank, Inc.

Statistician

Seattle, WA · On-site

Develop novel probabilistic mathematical and simulation models representing complex ecological and behavioral processes with modern statistical methods.Provide statistical support to other ...

Ra

Marketing Analytics Manager

Hartford, CT · On-site

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

Miami, FL

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

Columbus, OH · On-site

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 Senior Manager

Hartford, CT · On-site

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 Aug 13, 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.

What do statistical modeling do?

Statistical modeling involves creating mathematical representations of data to analyze patterns, make predictions, and inform decision-making. Professionals in this field use tools like statistical software and techniques such as regression analysis to interpret complex data sets. It is essential in fields like data science, research, and analytics to support evidence-based conclusions.

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 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.

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 August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $55,350 per year, or $26.6 per hour.

VP, Credit Risk Modeling

Growth Equity Interview Guide

Manhattan, NY • On-site

$250 - $450/hr

Other

Posted 7 days ago

Job description

The VP of Credit Risk Modeling at KKR will play a crucial role in developing and implementing credit risk models. This position requires a strong analytical background and the ability to communicate insights effectively. You will work closely with various teams to enhance risk management strategies and contribute to the firm’s overall success.

What You’ll Do
  • Lead the development of credit risk models to assess portfolio risk.
  • Collaborate with cross-functional teams to implement risk strategies.
  • Analyze data to identify trends and potential risks.
  • Present findings and recommendations to senior management.
  • Continuously improve modeling processes and methodologies.
What You Need
  • Strong background in credit risk modeling and analytics.
  • Experience with statistical modeling techniques and tools.
  • Ability to interpret complex data and provide actionable insights.
  • Excellent communication skills for presenting findings to stakeholders.
  • Proficiency in programming languages such as Python or R.
  • Experience in financial services or investment management is a plus.
What You’ll Love
  • Work in a dynamic and collaborative environment.
  • Opportunity to influence key business decisions.
  • Access to professional development and training resources.
  • Competitive compensation and benefits package.
About the Firm
  • KKR is a leading global investment firm founded in 1976.
  • They focus on delivering better outcomes for clients through innovative solutions.
  • The firm values sustainability and shared success.
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