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Entry Level Behavioral Data Science Jobs in Seattle, WA

(USA) Senior, Data Scientist

Bellevue, WA · On-site

$108K - $216K/yr

... behavior. * Improve outcomes through feedback-driven workflows using real-world signals ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... actor behavior from the noise of a global operation, and the privacy-preserving data representations that let detection science scale without exposing sensitive data. This is an R\&D role with a ...

... actor behavior from the noise of a global operation, and the privacy-preserving data representations that let detection science scale without exposing sensitive data. This is an R\&D role with a ...

Sr. Applied Scientist, Prime AI/ML Science

Seattle, WA · On-site

$104K - $142K/yr

... behavior through machine learning, artificial intelligence, and data mining over TB scale data with ... As the central science team within Prime, our expertise gets routinely called upon to weigh in on a ...

Sr. Applied Scientist, Prime AI/ML Science

Seattle, WA · On-site

$104K - $142K/yr

... behavior through machine learning, artificial intelligence, and data mining over TB scale data with ... As the central science team within Prime, our expertise gets routinely called upon to weigh in on a ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

Showing results 41-60

Entry Level Behavioral Data Science information

See Seattle, WA salary details

$12

$22

$32

How much do entry level behavioral data science jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level behavioral data science in Seattle, WA is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.90 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Seattle, WA?

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

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

The top searched job categories for Entry Level Behavioral Data Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Behavioral Data Science jobs?

Cities near Seattle, WA with the most Entry Level Behavioral Data Science job openings:

Applied Scientist, Prime Video Science

Seattle, WA • On-site


Amazon
IT Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 7,115 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Good employer

Recommended by students

Paid breaks


Full-time

Posted 19 days ago


Job description

The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the biggest decisions in entertainment: what content to make, what to license, and where to invest. We build large-scale models that simulate how our global customer base responds to change, and we get to see that work shape what the business does. Prime Video is an industry-leading entertainment business and a critical driver of Amazon Prime subscriptions, contributing to customer loyalty and lifetime value.

Our models learn from customer behavior to answer questions the business can't test directly and use those answers to guide where Prime Video invests in content and product. We're looking for an Applied Scientist to help build the next generation of these models.
As an Applied Scientist on this team, you will build machine learning and deep learning models on large-scale global data to simulate customer behavior across the business.

Ideally you bring experience with reinforcement learning, causal inference, and/or the design of agentic AI systems. You will partner closely with business, finance, engineering, and science stakeholders to take ideas from concept and prototype through to production. The candidate should have strong communication skills and the ability to translate data-driven findings into actionable insights.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and the ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
Build models that simulate customer behavior to answer counterfactual "what-if" questions that guide major content and product investment decisions.
Apply deep learning, reinforcement learning, causal inference, and experimental design to large-scale customer data to model how customers respond to change.
Design and prototype agentic AI systems and other novel ML approaches and research new methods to improve the accuracy and scale of our models.
Validate and calibrate models against real-world randomized experiments, and partner with software engineers to deliver scalable, production-ready systems.
Translate model outputs into clear recommendations and communicate results to business, finance, and science stakeholders through both technical papers and business-facing documents.
About the team
The Prime Video Science team is a multidisciplinary group of applied scientists, data scientists, economists, and engineers. We take on some of the hardest research questions in the business, and our work carries visibility up to the CFO/CEO level. We pursue ambitious research at the intersection of machine learning, AI, and causal inference, turning that research into innovations that improve customer experience and strengthen business profitability

Few science teams get to work on problems this hard and this impactful; if that combination excites you, we'd love to talk.


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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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