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Data Scientist Generative Ai Jobs in Bothell, WA

Are you passionate about Generative AI. Do you want to help define the future of Go to Market (GTM ... The deliverables include: helping customers solve complex problems with data science, contributions ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ... Stay current with advances in machine learning, generative AI, agentic systems, multimodal models ...

You are fluently able to leverage the latest generative AI systems and services to accelerate and ... scale data analytics, model training, deployment and serving - Publish scientific findings in ...

As we expand our scope into Generative AI, we are building a sophisticated, LLM-powered Finance Knowledge Base to streamline decision-making. We are seeking a strong Data Scientist II to drive the ...

Data Scientist, Product

Seattle, WA · On-site

$230K - $385K/yr

About the Role As a Data Scientist on the Applied Product team, you will contribute to a data ... Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI ...

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... generative AI, large language models, and agentic AI systems Amazon is an equal opportunity ...

Showing results 41-60

Data Scientist Generative Ai information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do data scientist generative ai jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist generative ai in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Generative Ai vs Data Scientist?

AspectData Scientist Generative AiData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI, machine learning, and programming languagesSimilar credentials; often includes degrees in statistics, computer science, or related fields
Work EnvironmentTech companies, AI startups, research labs focusing on AI and machine learning projectsVarious industries including finance, healthcare, tech, and consulting
Employer & Industry UsagePrimarily in AI development, focusing on generative models like GPT, DALL·E, and similarBroader industry applications, including data analysis, predictive modeling, and business insights

While both roles require strong data science skills and programming knowledge, Data Scientist Generative Ai specializes in developing and deploying generative AI models, whereas Data Scientist has a broader focus on data analysis and predictive modeling across various industries.

What are popular job titles related to Data Scientist Generative Ai jobs in Bothell, WA? For Data Scientist Generative Ai jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Generative Ai jobs in Bothell, WA look for? The top searched job categories for Data Scientist Generative Ai jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Scientist Generative Ai jobs? Cities near Bothell, WA with the most Data Scientist Generative Ai job openings:
Infographic showing various Data Scientist Generative Ai job openings in Bothell, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $184,472 per year, or $88.7 per hour.

Sr Data Scientist, WWSO Bedrock

Amazon

Seattle, WA • On-site

Full-time

Re-posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you passionate about Generative AI. Do you want to help define the future of Go to Market (GTM) at AWS using generative AI. In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock, customize Generative AI models, and help enterprise customers leverage these models to power end applications.

You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture

As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam
The Generative AI Worldwide Specialist team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of techniques, solutions and architectural blueprints that our customers can use to build their own enterprise-wide Generative AI and Agentic systems in a responsible way, helping them balance democratization of access to GenAI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc.

This role specifically will be owning development of best practices around Responsible AI covering such important topics as guardrails, veracity, model evaluations, automated reasoning, fairness, explainability, etc. The role with partner with others on the team to develop comprehensive guidance for AWS GenAI customers using Amazon Bedrock. The deliverables include: helping customers solve complex problems with data science, contributions to the joint technical guidance, architectural blueprints / whitepapers, feedback to AWS Bedrock science teams, thought leadership in the form of public writing and speaking, as well as internal enablement.

The role has a global remit.
Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and explore new solutions.

You will interact closely with our customers and with the academic community.
- Thought Leadership - Evangelize AWS features relating to Responsible AI and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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