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Statistical Modeling Jobs in Seattle, WA (NOW HIRING)

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

$222K/yr

  • Medical

  • Retirement

  • PTO

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 ...

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

Data Scientist , AMXL Worldwide Science

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand ...

Senior Data Scientist, Amazon Leo

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression ...

Data Scientist, SPX AI Lab, SPX Science

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply NLP and statistical modeling techniques-including topic modeling, clustering, semantic similarity, and classification-to uncover insights from unstructured seller interactions, feedback, and ...

... statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough • Design experiments and measurement approaches to ...

Senior Data Scientist, Amazon Leo

Bellevue, WA · On-site

$159 - $215/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design predictive models for statistical process control and equipment maintenance optimization * Build production-ready ML pipelines leveraging AWS services (e.g., SageMaker, Bedrock, AWS Glue)

New

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect ...

Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies ...

Showing results 21-40

Statistical Modeling information

See Seattle, WA salary details

$41.6K

$63K

$112.7K

How much do statistical modeling jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical modeling in Seattle, WA is $63,025.00, 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.

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.

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:

Infographic showing various Statistical Modeling job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $63,025 per year, or $30.3 per hour.

Data Scientist

Staffingine LLC

Redmond, WA • On-site

Contractor

Re-posted 14 days ago


Job description

Job Title: Data Scientist

Location: Redmond, WA (Onsite)
Interview: 2 Rounds (2nd Round Face-to-Face)
Local Candidates Only

Rate: Open

Job Summary:

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and generating business insights. This is a fully onsite role in Redmond, WA.

Required Skills:

  • 5+ years of experience in Data Science
  • Strong Python (Pandas, NumPy, Scikit-learn)
  • Good SQL skills
  • 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 knowledge