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Data Science Engineer Jobs in Seattle, WA (NOW HIRING)

Microsoft

Senior Data Scientist - FDE

Redmond, WA · On-site

... engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team. Qualifications Required/minimum qualifications * Doctorate in Data ...

Facebook App

Data Science Director

Bellevue, WA · On-site

$253K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... data-influenced product and business planning, prioritization and strategy development

Apple

Data Scientist

Seattle, WA

$137K - $207K/yr

Preferred Qualifications N/A Minimum Qualifications Master's degree or foreign equivalent in Data Science, Statistics, Applied Mathematics, Physics, Machine Learning, Computer Science, Engineering or ...

Stripe

Data Scientist, Core Infrastructure

Seattle, WA · On-site

About the team You'll be joining the data science team at Stripe responsible for our overall ... A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics ...

Stripe

Data Scientist, Core Infrastructure

Seattle, WA · On-site

About the team You'll be joining the data science team at Stripe responsible for our overall ... A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics ...

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Data Science Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data science engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Seattle, WA?

For Data Science Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Science Engineer jobs in Seattle, WA are:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Data Scientist, Amazon Devices, Devices Sales & Marketing

Amazon

Bellevue, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

The candidate in this role will own delivery of science products and solutions to help Amazon Devices Sales and Marketing org. make better decisions: product recommendations to customers, segmentation, financial incrementality of marketing initiatives, A/B testing etc.
Key job responsibilities
The Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. We are constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving customer experience on existing platforms

The Devices Data Services (DDS) team provides Data Science, Analytics and Engineering support to the broader organization to enable Sales and Marketing activities across all these product lines.
We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, and building predictive machine learning models. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.
In this role, you will be a technical expert with massive impact

You will take the lead on developing
advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams.

You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.
Key Performance Areas
- Implement statistical or machine learning methods to solve specific business problems.
- Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
- Directly contribute to development of modern automated recommendation systems
- Build customer-facing reporting tools to provide insights and metrics to track model performance and explain variance
- Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback
A day in the life
You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.
About the team
We are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer's expectation

Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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