... behavioral data. Responsibilities : • Design and deploy advanced machine learning systems for ... Required : • Master's degree (or equivalent practical experience) in Computer Science, Machine ...
... behavioral data. Responsibilities : • Design and deploy advanced machine learning systems for ... Required : • Master's degree (or equivalent practical experience) in Computer Science, Machine ...
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
Data Scientists
Redmond, WA · On-site
... 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 ...
Data Scientists
Redmond, WA · On-site
... 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 ...
Data Scientists
Redmond, WA · On-site
... 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 ...
Data Scientists
Redmond, WA · On-site
... 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 ...
... behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong ... experience in data science and machine learning, with a strong track record of delivering ...
... behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong ... experience in data science and machine learning, with a strong track record of delivering ...
Sr. Manager, People Data Science
Seattle, WA · On-site
$161K - $303K/yr
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 ...
Sr. Manager, People Data Science
Seattle, WA · On-site
$161K - $303K/yr
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 ...
Audience Data Scientist
Bellevue, WA · On-site
$122K - $153K/yr
... science and audience operations . You will analyze large behavioral and lifecycle datasets to define high-value audience strategies, determine the data required for activation, and build SQL-driven ...
New
Quick apply
Audience Data Scientist
Bellevue, WA · On-site
$122K - $153K/yr
... science and audience operations . You will analyze large behavioral and lifecycle datasets to define high-value audience strategies, determine the data required for activation, and build SQL-driven ...
New
Audience Data Scientist
Bellevue, WA · On-site
$122K - $153K/yr
... science and audience operations . You will analyze large behavioral and lifecycle datasets to define high-value audience strategies, determine the data required for activation, and build SQL-driven ...
New
Quick apply
Audience Data Scientist
Bellevue, WA · On-site
$122K - $153K/yr
... science and audience operations . You will analyze large behavioral and lifecycle datasets to define high-value audience strategies, determine the data required for activation, and build SQL-driven ...
New
Principal Data Scientist
Redmond, WA · On-site
Develop business frameworks that connect product initiatives, user behavior, content quality, and ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...
Principal Data Scientist
Redmond, WA · On-site
Develop business frameworks that connect product initiatives, user behavior, content quality, and ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...
Data Scientist
Tukwila, WA · On-site
$75.30 - $140.10/hr
Build and validate predictive models to identify member behaviors. * Design and lead A/B tests and ... Build data science solutions within Snowflake, Azure, and Python tools. * Collaborate across ...
Data Scientist
Tukwila, WA · On-site
$75.30 - $140.10/hr
Build and validate predictive models to identify member behaviors. * Design and lead A/B tests and ... Build data science solutions within Snowflake, Azure, and Python tools. * Collaborate across ...
Data Scientist, Safeguards
Seattle, WA · On-site
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 ...
Data Scientist, Safeguards
Seattle, WA · On-site
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 ...
Data Scientist ll - Digital Intelligence
Seattle, WA · On-site
$140 - $190/hr
... behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real‑world production environments. What You'll Gain You will work on meaningful data science problems in fraud ...
New
Data Scientist ll - Digital Intelligence
Seattle, WA · On-site
$140 - $190/hr
... behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real‑world production environments. What You'll Gain You will work on meaningful data science problems in fraud ...
New
Marketing Data Scientist
Bellevue, WA · On-site
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
Marketing Data Scientist
Bellevue, WA · On-site
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
Data Scientist ll - Digital Intelligence
Seattle, WA · On-site
$120 - $180/hr
... behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real‑world production environments. What You'll Gain You will work on meaningful data science problems in fraud ...
Data Scientist ll - Digital Intelligence
Seattle, WA · On-site
$120 - $180/hr
... behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real‑world production environments. What You'll Gain You will work on meaningful data science problems in fraud ...
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
... science, and business intelligence. This role integrates marketing strategy with data-driven ... Develop machine learning models to predict customer behavior and optimize marketing outcomes.
... customer data. You will work close to science: probing why a model behaves the way it does ... customer behavior to surface the story behind the numbers and catch issues before they reach ...
... customer data. You will work close to science: probing why a model behaves the way it does ... customer behavior to surface the story behind the numbers and catch issues before they reach ...
Senior Data Scientist
Redmond, WA · On-site
$137K - $222K/yr
This opportunity will allow you to deepen your expertise in data science, artificial intelligence ... model behavior. * Data storytelling - crafting compelling data stories through enhanced ...
Senior Data Scientist
Redmond, WA · On-site
$137K - $222K/yr
This opportunity will allow you to deepen your expertise in data science, artificial intelligence ... model behavior. * Data storytelling - crafting compelling data stories through enhanced ...
This role sits at the center of how we understand customer behavior, diagnose business performance ... You will lead a distributed team of data scientists and work closely with senior leaders across ...
This role sits at the center of how we understand customer behavior, diagnose business performance ... You will lead a distributed team of data scientists and work closely with senior leaders across ...
... behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong ... in data science, machine learning, or applied AI, with a strong track record of building and ...
... behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong ... in data science, machine learning, or applied AI, with a strong track record of building and ...
Behavioral Data Science information
See Seattle, WA salary details
$26K - $43.3K
13% of jobs
$43.3K - $60.6K
11% of jobs
$64.3K is the 25th percentile. Wages below this are outliers.
$60.6K - $77.9K
7% of jobs
$77.9K - $95.2K
13% of jobs
The median wage is $104.7K / yr.
$95.2K - $112.6K
12% of jobs
$112.6K - $129.9K
11% of jobs
$146.2K is the 75th percentile. Wages above this are outliers.
$129.9K - $147.2K
10% of jobs
$147.2K - $164.5K
6% of jobs
$164.5K - $181.8K
7% of jobs
$181.8K - $199.1K
6% of jobs
$199.1K - $216.5K
4% of jobs
$26K
$116.2K
$216.5K
How much do behavioral data science jobs pay per year?
As of Aug 8, 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:
Full-time
Re-posted 8 days ago
Job description
Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking a Senior Data Scientist to join their Digital Intelligence team. In this role, you will drive the development of machine learning features and models to power fraud prevention and identity verification using device, network, and behavioral data.
Responsibilities:
• Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics.
• Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data).
• Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse.
• Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques.
• Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning.
• Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust.
• Contribute to team standards for ML explainability, risk evaluation, and feature logging.
• Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences.
• Mentor junior data scientists and participate in cross-functional working groups.
Qualifications:
Required:
• Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 6+ years of experience in data science or applied machine learning, including experience working in production environments.
• Excellent SQL skills and extensive experience with large-scale databases and data modeling.
• Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data.
• Proficiency in Python and distributed computing tools (e.g., Spark, PySpark).
• Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar.
• Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership.
• Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness.
• Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies.
• Strong judgment across data quality, model selection, and business impact tradeoffs.
• Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams.
Preferred:
• Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.
• Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings).
• Familiarity with privacy-preserving or robust ML techniques.
• Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Socure is building the identity trust infrastructure for the digital economy, and they are seeking a Senior Data Scientist to join their Digital Intelligence team. In this role, you will drive the development of machine learning features and models to power fraud prevention and identity verification using device, network, and behavioral data.
Responsibilities:
• Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics.
• Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data).
• Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse.
• Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques.
• Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning.
• Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust.
• Contribute to team standards for ML explainability, risk evaluation, and feature logging.
• Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences.
• Mentor junior data scientists and participate in cross-functional working groups.
Qualifications:
Required:
• Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 6+ years of experience in data science or applied machine learning, including experience working in production environments.
• Excellent SQL skills and extensive experience with large-scale databases and data modeling.
• Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data.
• Proficiency in Python and distributed computing tools (e.g., Spark, PySpark).
• Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar.
• Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership.
• Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness.
• Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies.
• Strong judgment across data quality, model selection, and business impact tradeoffs.
• Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams.
Preferred:
• Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.
• Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings).
• Familiarity with privacy-preserving or robust ML techniques.
• Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Socure
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Incline Village, NV, US
Year founded
2012