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Predictive Modeling Jobs in Seattle, WA (NOW HIRING)

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data ...

Business Intelligence

Redmond, WA · On-site

$57 - $74.25/hr

Preferred : • Experience working with large datasets (billions of records). • Understanding of statistical analysis, A/B testing, and predictive modeling. • Bachelor's degree in Business ...

Senior Enablement Analyst

Seattle, WA · On-site

$97K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support customers using data for analytics, patient journey analysis, and predictive modeling using machine learning. * Create examples and best-practice materials that show how to structure cohorts ...

New

Senior Enablement Analyst

Seattle, WA · On-site +1

$97K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support customers using data for analytics, patient journey analysis, and predictive modeling using machine learning. * Create examples and best-practice materials that show how to structure cohorts ...

New

Responsibilities : • Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling • Applying risk analysis methodologies to problems in ...

Specialist, Asset Management

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage internal dashboards, predictive analytics tools, and automated valuation models (AVMs) to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or ...

Specialist, Asset Management

Seattle, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage internal dashboards, predictive analytics tools, and automated valuation models (AVMs) to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or ...

Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. * Create self-service analytics capabilities that empower teams while maintaining ...

Showing results 21-40

Predictive Modeling information

See Seattle, WA salary details

$11

$66

$94

How much do predictive modeling jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for predictive modeling in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are popular job titles related to Predictive Modeling jobs in Seattle, WA?

For Predictive Modeling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in Seattle, WA look for?

The top searched job categories for Predictive Modeling jobs in Seattle, WA are:

Infographic showing various Predictive 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 $138,977 per year, or $66.8 per hour.

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon

Seattle, WA • Remote

$104K - $142K/yr

Full-time

Re-posted 8 hours ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,089 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

As a Senior Applied Scientist specializing in lead scoring and deep learning modeling, you will tackle complex challenges in machine learning and deep learning to redefine how our business engages with customers. You will design and deploy high-impact models that drive customer segmentation, adaptive recommendations, and predictive lead and account prioritization. Leveraging your expertise in deep learning, representation learning, and general modeling, you'll help build solutions that directly influence business outcomes, collaborating with cross-functional teams to turn novel research into scalable, production-grade systems.
Key job responsibilities
* Design and deploy predictive lead scoring models to optimize customer acquisition, conversion, and retention strategies using advanced techniques like survival analysis, graph networks, or transformer-based architectures.
* Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference.
* Publish research, file patents, and stay ahead of industry trends in the marketing science, propensity modeling, and customer journey prediction domains.
* Innovate in multi-modal modeling (text, graph, behavioral, and temporal data) to enhance scoring accuracy across account and lead levels.
* Conduct rigorous A/B testing, causal inference, and counterfactual analysis to measure model impact and iterate rapidly.
* Collaborate with MLOps engineers to streamline model deployment, monitoring, and retraining using tools like AWS SageMaker, or MLflow and other internal tools.
* Participate in science reviews to raise the science bar in our organization

This includes reviewing your work and the work of others.
* Mentor junior scientists on ML methodology, experimentation design, and production best practices.
* Define offline and online evaluation frameworks; establish success metrics tied to business outcomes (conversion rates, pipeline generation).
About the team
The AWS Marketing Science team builds the ML models and measurement systems that drive marketing decisions across Amazon Web Services. We own incrementality and valuation, ROI measurement, marketing attribution, propensity scoring, account and lead clustering, and next-best-action models. Our work directly influences how AWS allocates marketing spend, targets accounts, and measures effectiveness across billions in pipeline.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US