This role requires an individual with strong quantitative modeling skills and experience using ... predictive modeling. - Use analytical and predictive techniques to build models for optimizing ...
This role requires an individual with strong quantitative modeling skills and experience using ... predictive modeling. - Use analytical and predictive techniques to build models for optimizing ...
BASIC QUALIFICATIONS - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field ...
BASIC QUALIFICATIONS - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
New
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
New
Innovate on a suite of predictive models to help inform our content strategy. Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
... Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
... Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the ...
Sr. Manager, People Data Science
$161K - $303K/yr
Build predictive models to forecast workforce outcomes and inform people decisions * Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
Sr. Manager, People Data Science
$161K - $303K/yr
Build predictive models to forecast workforce outcomes and inform people decisions * Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES * MS, or PhD candidates in finance, computer science, mathematics, physics, or other ...
Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES * MS, or PhD candidates in finance, computer science, mathematics, physics, or other ...
Senior Analyst, Recruiting Data Analytics
Seattle, WA · On-site
$97K - $123K/yr
Responsibilities * - Predictive Modeling: Build, validate, and deploy predictive analytics models to forecast hiring trends, attrition risks, and talent supply gaps. * - ML Integration: Apply machine ...
Senior Analyst, Recruiting Data Analytics
Seattle, WA · On-site
$97K - $123K/yr
Responsibilities * - Predictive Modeling: Build, validate, and deploy predictive analytics models to forecast hiring trends, attrition risks, and talent supply gaps. * - ML Integration: Apply machine ...
Principal AI Product Manager
Seattle, WA · On-site
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
Principal AI Product Manager
Seattle, WA · On-site
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
Principal AI Product Manager
Seattle, WA · On-site
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
Principal AI Product Manager
Seattle, WA · On-site
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
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 ...
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 ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
Quick apply
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
Sr. Applied Scientist, PXT Central Science
Bellevue, WA · On-site
$103K - $141K/yr
We are building something new - causal predictive models that go beyond traditional forecasting. Our models don't just tell leaders what will happen; they reveal why it will happen and what levers ...
Sr. Applied Scientist, PXT Central Science
Bellevue, WA · On-site
$103K - $141K/yr
We are building something new - causal predictive models that go beyond traditional forecasting. Our models don't just tell leaders what will happen; they reveal why it will happen and what levers ...
... predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to ...
... predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to ...
Senior AI Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
The ideal candidate will bring broad experience across the machine learning landscape-including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the ...
Senior AI Compiler Engineer
Redmond, WA · On-site
$117K - $160K/yr
The ideal candidate will bring broad experience across the machine learning landscape-including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the ...
Predictive Modeling information
See Seattle, WA salary details
$11.77 - $19.31
4% of jobs
$19.31 - $26.85
1% of jobs
$26.85 - $34.39
2% of jobs
$34.39 - $41.93
0% of jobs
$41.93 - $49.47
3% of jobs
$49.47 - $57.01
8% of jobs
$59.72 is the 25th percentile. Wages below this are outliers.
$57.01 - $64.55
17% of jobs
The median wage is $68.97 / hr.
$64.55 - $72.09
24% of jobs
$76.97 is the 75th percentile. Wages above this are outliers.
$72.09 - $79.63
23% of jobs
$79.63 - $87.17
12% of jobs
$87.17 - $94.71
5% of jobs
$11
$66
$94
How much do predictive modeling jobs pay per hour?
As of Jun 12, 2026, the average hourly pay for predictive modeling in Seattle, WA is $66.85, according to ZipRecruiter salary data. Most workers in this role earn between $59.95 and $77.74 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Predictive Modeling position, 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 a Predictive Modeling job?
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 is a predictive modeler?
A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or specialized software and often require knowledge of data analysis, statistics, and programming. Their work supports decision-making in various industries such as finance, marketing, and healthcare.
What jobs make $1,000,000 a year?
In predictive modeling, high-earning roles such as senior data scientists, machine learning engineers, and analytics directors can reach or exceed $1 million annually, especially in top tech companies or financial firms. These positions typically require advanced skills in statistical analysis, programming, and experience with big data tools, along with leadership responsibilities and often performance-based bonuses or equity.
Is 40 too late for data science?
Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R. Continuous learning and relevant experience are more important than age when pursuing a data science career.
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 job makes $10,000 a month without a degree?
Predictive modeling roles, such as data scientists or machine learning engineers, can earn $10,000 or more per month with significant experience and expertise in statistical analysis, programming, and data tools. These jobs often require strong skills in Python, R, or SQL and may involve working in tech, finance, or consulting environments, but typically do not require a formal degree if skills are demonstrated through portfolios or certifications.
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:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 15 days ago
Amazon rating
7.4
Based on 6,843 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon? The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop models for optimizing the performance of Amazon's marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions, make strategic and tactical recommendations for change, and work with business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment.
This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.
You will be expected to:
- Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.
- Predict future customer behavior and business conditions through machine learning and predictive modeling.
- Use analytical and predictive techniques to build models for optimizing targeting.
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.
You will be expected to:
- Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.
- Predict future customer behavior and business conditions through machine learning and predictive modeling.
- Use analytical and predictive techniques to build models for optimizing targeting.
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
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