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Scoring Jobs in Seattle, WA (NOW HIRING)

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Scoring information

What is a scoring job?

Scoring jobs typically involve evaluating tests, assignments, or assessments to determine the quality or accuracy of the responses. These jobs can be found in education, standardized testing, and even in some creative fields like music or sports, where scores are assigned based on set criteria. Scoring professionals may work for testing companies, educational institutions, or organizations that require impartial assessment of work. The work can often be done remotely and may require specialized training or knowledge in the subject being scored.

What are the key skills and qualifications needed to thrive as a scoring specialist?

To thrive as a Scoring Specialist, you need strong analytical skills, attention to detail, and typically a background in data analysis or education assessment. Familiarity with scoring software, standardized testing platforms, and sometimes certifications in assessment or data management are common requirements. Excellent communication, time management, and impartiality are crucial soft skills for ensuring accuracy and fairness. These abilities ensure consistent, reliable evaluation of assessments and maintain the integrity of the scoring process.

What are some common challenges faced by professionals in scoring roles, and how can they be effectively managed?

Scoring professionals, such as those involved in educational assessments or standardized testing, often face challenges related to maintaining consistency and objectivity across large volumes of work. They must adhere strictly to rubrics, manage tight deadlines, and sometimes handle complex or ambiguous responses. Effective management includes thorough training, regular calibration sessions with other scorers, and ongoing feedback from supervisors to ensure accuracy. Many organizations also foster a collaborative environment, allowing scorers to discuss difficult cases and share best practices.

What is the difference between Scoring vs Data Analyst?

AspectScoringData Analyst
Required CredentialsTypically requires knowledge of scoring models, statistical skills, and sometimes certifications in analytics or data scienceRequires degrees in statistics, data science, or related fields; often holds certifications like CAP or Microsoft Data Analyst
Work EnvironmentOften in finance, insurance, or credit industries; focuses on developing and applying scoring modelsIn various industries including finance, marketing, healthcare; analyzes data to inform business decisions
Employer & Industry UsageUsed by credit bureaus, insurance companies, and lenders to assess riskEmployed across sectors to interpret data, generate reports, and support strategic planning

While both roles involve data handling, Scoring primarily focuses on creating and applying models to evaluate risk or creditworthiness, whereas Data Analysts interpret data to provide insights and support decision-making across diverse industries.

What are the most commonly searched types of Scoring jobs in Seattle, WA? The most popular types of Scoring jobs in Seattle, WA are:
What are popular job titles related to Scoring jobs in Seattle, WA? For Scoring jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Scoring jobs in Seattle, WA look for? The top searched job categories for Scoring jobs in Seattle, WA are:
Infographic showing various Scoring job openings in Seattle, WA as of August 2026, with employment types broken down into 43% Full Time, 29% Part Time, and 28% Contract. Highlights an 100% In-person job distribution.

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon

Seattle, WA • Remote

$104K - $142K/yr

Full-time

Posted 28 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,082 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