ZipRecruiter

Log In

1

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

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

... behavior, limitations, and opportunities; partner on responsible AI/privacy/governance. Qualifications & Required/Preferred Skills * BS+ in Data Science/Statistics/CS/Engineering/Bioinformatics ...

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

You will translate behavioral insights and empirical findings into optimized project structures and ... Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related ...

Bristol Myers Squibb

Senior Data Scientist

Seattle, WA · On-site

... behavior in ways stakeholders can trust. You will help define the good analytical context agents ... Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services.

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

... behavior, and turn ambiguous product questions into clear decisions. This is an agentic data science role. You'll use AI tools and agent workflows to move faster and think more rigorously across the ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

... customer data. You will work close to science: probing why a model behaves the way it does ... Run deep-dive analyses on model outputs, experiment results, and customer behavior to surface the ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

... customer data. You will work close to science: probing why a model behaves the way it does ... Run deep-dive analyses on model outputs, experiment results, and customer behavior to surface the ...

previous pagenext page

Showing results 21-40

All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Seattle, WA

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 22, 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 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.

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.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

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 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:

Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,214 per year, or $55.9 per hour.

Senior Data Scientist

Socket.dev

Seattle, WA • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Summary
  • Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into measurable AI product hypotheses, experiments, and working solutions.
  • Partner with AI, Data, App/Cloud, Frontend engineers, product owners, and domain experts to build/evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.
Key Responsibilities
  • Frame questions into AI hypotheses, success metrics, evaluation plans, and rapid experiments; contribute to agile AI Accelerator cycles.
  • Build prototypes using Python, SQL, notebooks, APIs, and AWS‑aligned data services.
  • Support sandboxed/non‑production data problem solving (branch/transform/test/audit code+data experiments).
  • Evaluate/curate analytical context (instructions, memory, tools, warehouse context, curated source meaning) and build analytical features (embeddings/classifiers/ranking/recommendations/simulation/optimization).
  • Partner with Data Engineers on datasets, retrieval corpora, metadata, and feature pipelines (S3, Athena, PostgreSQL/RDS, vector DBs, knowledge graphs).
  • Design evaluations for LLM/RAG/agentic workflows; create rubrics/golden datasets, validate structured outputs, taxonomy hallucination risk, SME review loops.
  • Use LangGraph/LangSmith/PydanticAI (or similar) to test agent behavior and reliability; assess context vs raw retrieval.
  • Define KPIs/measurement plans; use demos/sprint reviews to assess MVP progress; apply statistical/experimental/causal or quasi‑experimental methods.
  • Create analyses/visualizations/narratives explaining behavior, limitations, and opportunities; partner on responsible AI/privacy/governance.
Qualifications & Required/Preferred Skills
  • BS+ in Data Science/Statistics/CS/Engineering/Bioinformatics/Computational Biology/Applied Math or related.
  • 5+ years in data science/ML/applied AI/analytics.
  • Proficient in Python, SQL, R; pandas/NumPy/scikit‑learn/PyTorch/TensorFlow/statsmodels.
  • Experience with ML/statistics/NLP/information retrieval/experimentation/decision science; LLM apps, RAG, agentic AI, prompt/evaluation design, structured outputs, context‑quality evaluation.
  • Familiarity with AWS services (S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock) and vector DBs/knowledge graphs/embeddings.
  • Experience with evaluation rubrics, hallucination risk, causal inference, simulation/optimization/recommendations; Streamlit preferred for prototyping.
  • Communicate findings to technical/non‑technical audiences; use coding agents (Claude Code/Codex/Gemini CLI/Copilot).
Benefits
  • Health coverage (medical/pharmacy/dental/vision), wellbeing support (accounts/EAP), financial protection (401(k), disability, life/accident/supplemental insurance, travel protection, legal support, identity theft).
  • Paid time off; US exempt employees: flexible time off (unlimited) + 11 paid national holidays; other listed groups: 160 hours annual vacation + holidays.
#J-18808-Ljbffr

Apply