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 ...
Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect ...
Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect ...
Principal Data Scientist
Redmond, WA · On-site
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
Principal Data Scientist
Redmond, WA · On-site
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting ...
By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting ...
By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting ...
By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting ...
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
Data Scientist
Redmond, WA · On-site
Experience in Machine Learning & Statistical Modeling * Experience with Cloud (Azure/AWS/GCP) * Data visualization experience (Power BI/Tableau preferred) Preferred: * NLP or Deep Learning * MLOps ...
Quick apply
Data Scientist
Redmond, WA · On-site
Experience in Machine Learning & Statistical Modeling * Experience with Cloud (Azure/AWS/GCP) * Data visualization experience (Power BI/Tableau preferred) Preferred: * NLP or Deep Learning * MLOps ...
Data Scientist, Data Insights
Seattle, WA · On-site +1
Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). * Design and implement data visualizations and self ...
Data Scientist, Data Insights
Seattle, WA · On-site +1
Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). * Design and implement data visualizations and self ...
Senior Data Scientist
Seattle, WA · On-site
Required : • 5+ years of experience solving problems through statistical modeling, applied machine learning, and data analysis. • Strong proficiency in programming environments and languages ...
Senior Data Scientist
Seattle, WA · On-site
Required : • 5+ years of experience solving problems through statistical modeling, applied machine learning, and data analysis. • Strong proficiency in programming environments and languages ...
2026 AI/ML Intern - Machine Learning Engineer
Seattle, WA · On-site +1
$45 - $55/hr
Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. * Develop and implement scalable ...
2026 AI/ML Intern - Machine Learning Engineer
Seattle, WA · On-site +1
$45 - $55/hr
Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. * Develop and implement scalable ...
You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers ...
You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers ...
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers ...
You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers ...
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
BASIC QUALIFICATIONS - 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 5+ years of data querying languages (e.g.
BASIC QUALIFICATIONS - 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 5+ years of data querying languages (e.g.
We need an expert in experimental statistics, machine learning or causal inference to design advanced new models with our world class data systems. Dozens of Amazon businesses use Amazon's ad tech ...
We need an expert in experimental statistics, machine learning or causal inference to design advanced new models with our world class data systems. Dozens of Amazon businesses use Amazon's ad tech ...
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
We need an expert in experimental statistics, machine learning or causal inference to design advanced new models with our world class data systems. Dozens of Amazon businesses use Amazon's ad tech ...
We need an expert in experimental statistics, machine learning or causal inference to design advanced new models with our world class data systems. Dozens of Amazon businesses use Amazon's ad tech ...
Statistical Modeling information
See Seattle, WA salary details
$41.5K - $48K
21% of jobs
$48.7K is the 25th percentile. Wages below this are outliers.
$48K - $54.5K
35% of jobs
$54.5K - $60.9K
11% of jobs
$64.7K is the 75th percentile. Wages above this are outliers.
$60.9K - $67.4K
14% of jobs
$67.4K - $73.9K
4% of jobs
$73.9K - $80.3K
4% of jobs
$80.3K - $86.8K
1% of jobs
$86.8K - $93.3K
2% of jobs
$93.3K - $99.7K
3% of jobs
$99.7K - $106.2K
1% of jobs
$106.2K - $112.7K
3% of jobs
$41.5K
$63K
$112.7K
How much do statistical modeling jobs pay per year?
As of Jul 2, 2026, the average yearly pay for statistical modeling in Seattle, WA is $62,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $68,300.00 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?
| Aspect | Statistical Modeling | Data Analyst |
|---|---|---|
| Required Credentials | Degree in statistics, mathematics, or related field; proficiency in statistical software | Degree in data science, statistics, or related; strong analytical skills |
| Work Environment | Research, academia, or data-driven industries; focus on model development | Business, marketing, or finance; focus on data interpretation and reporting |
| Employer & Industry Usage | Used in industries requiring predictive models and complex analysis | Used 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.
What are popular job titles related to Statistical Modeling jobs in Seattle, WA? For Statistical Modeling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Statistical Modeling jobs in Seattle, WA look for? The top searched job categories for Statistical Modeling jobs in Seattle, WA are:
Full-time
Posted yesterday
Job description
Company Description
About Client:
They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!
Job Description
Job Title: Marketing Analytics Manager
Job Level: Mid - Senior Level
Job Description:
This is what you will do..
You will be using quantitative methods to assess the impact of offline and digital marketing.
You will be interacting with the client.
You will be providing analyses, recommendations, presentations and advice to clients.
You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.
You will be leading a team and you will be responsible for team's growth.
We are looking for someone...
Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.
Who is good in management or leadership role.
Who is good in providing external consulting.
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, Statistical Programming, Database Marketing Management & Operations etc.
Who is proficient in Customer-level data analysis.
Qualifications
Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.
Who is good in management or leadership role.
Who is good in providing external consulting.
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, Statistical Programming, Database Marketing Management & Operations etc.
Who is proficient in Customer-level data analysis.
Additional Information
All your information will be kept confidential according to EEO guidelines.