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

... behavioral data) At least 2-3 years' experience in hands-on involvement in customer and market data analysis using advanced analytic techniques such as CART/ Decision Tree, cluster, regression ...

... g. behavioral data) • At least 2-3 years' experience in hands-on involvement in customer and ... scientific rigor" to meet the needs of a dynamic business • Experience in developing and ...

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

About the role As an early member of our Safeguards Data Science and Analytics team, you will play ... Deep dive into user behavior data to provide insights on safety concerns * Define core metrics that ...

Senior Data & Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Choose appropriate metrics, success criteria, and evaluation windows based on user behavior and ... Decision Science & Insights * Go beyond "did it move the metric?" to explain why results happened ...

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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 Jul 17, 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.

Is behavioral science in high demand?

Behavioral science roles, including behavioral data science, are increasingly in demand across industries such as marketing, healthcare, and technology due to the growing emphasis on understanding human behavior through data analysis. Professionals with skills in statistics, psychology, and data tools like Python or R are sought after to develop insights and influence decision-making. The field is expected to continue expanding as organizations prioritize data-driven strategies.

What do behavioral data scientists do?

Behavioral data scientists analyze data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning tools, and behavioral theories to interpret data from sources like surveys, digital interactions, and experiments, often working with programming languages such as Python or R. Their work supports areas like marketing, product development, and user experience optimization.

What is a Behavioral Data Science job?

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.

What can I do with a BS in behavioral science?

A BS in behavioral science prepares individuals for roles such as behavioral data analyst, research assistant, or user experience researcher, where they analyze human behavior and apply insights to improve products, services, or policies. Skills in data analysis, statistical tools, and understanding of psychological principles are essential for these positions.

What can I do with a career in behavioural sciences?

A career in behavioural sciences, including roles like behavioral data scientist, involves analyzing human behavior using data analysis, statistical tools, and psychological theories. Professionals can work in areas such as market research, user experience, public health, or policy development, often requiring skills in programming, data visualization, and research methods. These roles typically involve interpreting data to inform decision-making and improve outcomes across various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, 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 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 July 2026, with employment types broken down into 71% Full Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $116,214 per year, or $55.9 per hour.
Data Scientists

Contractor

Posted 10 days ago


Job description

Company Description

SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT. 



Job Description

Position: Data Scientists

Location: Redmond WA

Duration; 6+ Months

Job Description:

Analyze complex, high-volume, high-dimensionality data from varying sources including subscription and app usage telemetry data to provide customer insights to drive key business decisions

Subscription lifecycle marketing

Churn driver analysis

Consumer usage segmentation

App usage & retention pattern

Work on broader business problem to drive marketing strategy e.g.

Media mix analysis

Customer lifetime value, engagement model

App usage and retention pattern

Minimum Requirements:

5-7 years' experience with marketing measurement, analytics and reporting including deep experience in marketing domain and also with survey data (sampling, experimental design, statistical testing and other forms of non-survey based data (e.g. behavioral data)

At least 2-3 years' experience in hands-on involvement in customer and market data analysis using advanced analytic techniques such as CART/ Decision Tree, cluster, regression, factor, bayes nets, neural nets, agent-based modeling.

Ability to "talk" in advanced analytical language and also translate business issues into technical language and vice versa.

Ability to maintain balance between solid "pragmatism" and "scientific rigor" to meet the needs of a dynamic business

Experience in developing and presenting strategic recommendations from complex analytics in an easy and engaging manner for executive/senior-level audiences.

Experience with statistical packages such as SAS, R, Power Views and deep experience with advanced Excel functionality

Working knowledge of leading analytic environments, for both structured (relational data warehouses, SQL, etc.) and unstructured data (COSMOS, Cassandra, Hadoop, Web trends, Omniture, etc.).

Undergraduate degree a must. MBA or Masters/PhD in Business or a Quantitative Discipline preferred.

Success Factors include: Strategic Thinking, Business & Strategy Leadership, Influence and Impact, Cross-Group Collaboration, Communication Skills, Courage and Conviction, Drive for Results, and Organizational Agility.

Additional Information

All your information will be kept confidential according to EEO guidelines.