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 ...
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) - Un
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) - Un
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
Quantitative Research Intern
Seattle, WA · On-site
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 ...
Quantitative Research Intern
Seattle, WA · On-site
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 ...
Front Office Strategy Consulting - PLS Customer Analytics - Manager
Seattle, WA · On-site
$99K - $232K/yr
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
Front Office Strategy Consulting - PLS Customer Analytics - Manager
Seattle, WA · On-site
$99K - $232K/yr
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
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 ...
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 ...
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
Lead the integration of LLMs, predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
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 ...
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 ...
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 ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
Principal AI Product Manager
Seattle, WA · On-site
... predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and activation. • Translate complex ...
Principal AI Product Manager
Seattle, WA · On-site
... predictive models, personalization engines, and intelligent automation into core workflows across data onboarding, identity resolution, segmentation, analytics, and activation. • Translate complex ...
Predictive Modeling information
See Seattle, WA salary details
$11.76 - $19.30
4% of jobs
$19.30 - $26.83
1% of jobs
$26.83 - $34.37
2% of jobs
$34.37 - $41.90
0% of jobs
$41.90 - $49.44
3% of jobs
$49.44 - $56.97
8% of jobs
$59.68 is the 25th percentile. Wages below this are outliers.
$56.97 - $64.51
17% of jobs
The median wage is $68.93 / hr.
$64.51 - $72.05
24% of jobs
$76.93 is the 75th percentile. Wages above this are outliers.
$72.05 - $79.58
23% of jobs
$79.58 - $87.12
12% of jobs
$87.12 - $94.65
5% of jobs
$11
$66
$94
How much do predictive modeling jobs pay per hour?
What is the highest paying modeling job?
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?
Is 40 too late for data science?
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 jobs will no longer exist in 2030?
Principal Applied Scientist, Conversational Assistant Modeling & Learning
Bellevue, WA • On-site
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 15 days ago
Amazon rating
7.4
Based on 6,921 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
As a Principal Scientist, you are a hands-on technical leader. You define research directions, design and run rigorous experiments, and ensure that research translates into production systems at scale. You decompose ambiguous, hard problems into clear solutions. Your code, models, and documents are exemplary and frequently referenced across the organization.
You amplify your impact beyond your own work. You lead scientific reviews, scrutinize experimental design and modeling assumptions, and align teams toward coherent strategies. You mentor senior scientists, contribute significantly to hiring, and keep the broader scientific community current on state-of-the-art techniques. You bring business and industry context to technical decisions and can credibly present to executive leadership.
Key job responsibilities
Define and drive the science roadmap for conversational AI capabilities powered by large language models
Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment
Architect agentic systems - multi-step reasoning, tool use, planning, and orchestration - that work reliably at scale
Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams
Publish results at top-tier venues and represent Amazon in the broader research community
Mentor scientists at all levels and contribute to organizational planning, hiring, and technical culture
About the team
Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning from human feedback and verifiable rewards, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale - our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us.
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
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
PREFERRED QUALIFICATIONS
- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences
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, Bellevue - 198,900.00 - 269,000.00 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