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

Senior Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Conduct exploratory analysis on internal data to understand user behavior to inform product ... Data Science or a related occupation. Must have three (3) years in each of the following:

Senior Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Conduct exploratory analysis on internal data to understand user behavior to inform product ... Data Science or a related occupation. Must have three (3) years in each of the following:

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

... behavioral science, statistics, machine learning, and Generative AI to proactively identify ... of data engineering experience - Experience in at least one modern scripting or programming ...

Senior Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Conduct exploratory analysis on internal data to understand user behavior to inform product ... Data Science or a related occupation. Must have three (3) years in each of the following:

Senior Data Scientist

Seattle, WA · On-site

$192 - $288/hr

Conduct exploratory analysis on internal data to understand user behavior to inform product ... Data Science or a related occupation. Must have three (3) years in each of the following:

Showing results 41-60

Behavioral Data Science information

See Seattle, WA salary details

$26K

$116.2K

$216.5K

How much do behavioral data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for behavioral data science in Seattle, WA is $116,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,562.00 and $158,017.00 per year, depending on experience, location, and employer.

What can I do with a behavioral data science degree?

A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

Is behavioral data science in high demand?

Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.

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

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What are the most commonly searched types of Behavioral Data Science jobs in Seattle, WA?

The most popular types of Behavioral Data Science jobs in Seattle, WA are:

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

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

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

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

Infographic showing various Behavioral Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $116,214 per year, or $55.9 per hour.

Data Scientist, Prime Video Science

Amazon

Seattle, WA

Full-time

Posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,091 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


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.

We're looking for a Data Scientist to help us design the experiments that ground our models in reality, evaluate the AI systems we build, and turn our model and experiment results into insights the business can act on. As a Data Scientist on this team, you will design and analyze experiments, build evaluations for AI systems, and run deep-dive analyses on our models, experiments, and customer data. You will work close to science: probing why a model behaves the way it does, pressure-testing results before they reach senior leaders, and, where it helps, building your own statistical and causal models.

The candidate should have strong communication skills and the ability to translate complex, ambiguous analyses into clear findings for both technical and business audiences. 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
Design and analyze randomized experiments that validate and calibrate our models and measure the impact of content and product changes.
Build evaluations and benchmarks for the AI systems the team develops and define what "good" looks like for them.
Run deep-dive analyses on model outputs, experiment results, and customer behavior to surface the story behind the numbers and catch issues before they reach stakeholders.
Apply statistical modeling, causal inference, and data analysis to answer business questions and inform major investment decisions.
Communicate findings to business, finance, engineering, and science stakeholders through clear written analyses 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.


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