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Statistical Modeling Jobs in Seattle, WA (NOW HIRING)

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 ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... with statistical modeling and machine learning algorithms • Must be willing to work extended hours and weekends as needed Preferred : • 8+ years of professional experience in analytics, data ...

Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... with statistical modeling and machine learning algorithms • Must be willing to work extended hours and weekends as needed Preferred : • 8+ years of professional experience in analytics, data ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... with statistical modeling and machine learning algorithms • Must be willing to work extended hours and weekends as needed Preferred : • 8+ years of professional experience in analytics, data ...

Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... statistical modeling and machine learning algorithms. • Must be willing to work extended hours and weekends as needed. • To conform to U.S. Government export regulations, applicant must be a (i ...

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 ...

Develop and validate models to forecast customer acquisition. BASIC QUALIFICATIONS: * Bachelor's degree in computer science, physics, mathematics, statistics, or a STEM discipline. * 1+ years of ...

Develop and validate models to forecast customer acquisition BASIC QUALIFICATIONS: * Bachelor's degree in computer science, physics, mathematics, statistics, or a STEM discipline * 5+ years of ...

Develop and validate models to forecast customer acquisition. BASIC QUALIFICATIONS: * Bachelor's degree in computer science, physics, mathematics, statistics, or a STEM discipline. * 1+ years of ...

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Statistical Modeling information

See Seattle, WA salary details

$41.5K

$63K

$112.7K

How much do statistical modeling jobs pay per year?

As of Jun 11, 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.

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.
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 June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $62,990 per year, or $30.3 per hour.

Marketing Analytics Manager

Ra

Seattle, WA • On-site

Full-time

Posted 11 days ago


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.