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Analytics Data Scientist Jobs in Seattle, WA (NOW HIRING)

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Your scope will reach from text classification problems over big data analytics to A/B testing and ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team. Microsoft's mission is to empower every person and every organization on the planet to achieve more.

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA. Opendoor is transforming ... Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive ...

Develop scalable, high-performance analytics solutions and trusted data assets that enable data-driven decision-making. * Work with development teams to improve instrumentation quality, partner with ...

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Showing results 1-20

Analytics Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do analytics data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for analytics data scientist in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What does an analytics data scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

What are the key skills and qualifications needed to thrive as an analytics data scientist?

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

How does an analytics data scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

What is the difference between Analytics Data Scientist vs Data Analyst?

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

What are popular job titles related to Analytics Data Scientist jobs in Seattle, WA?

For Analytics Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Analytics Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Analytics Data Scientist jobs in Seattle, WA are:

Infographic showing various Analytics Data Scientist 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Full-time

Posted 9 days ago


Job description

Job Summary: Data Scientist IV - Analytic Objectivity & Process Survey Support Specialist
Location: McLean, VA (Onsite at Customer/Government Site) | Security Clearance: TS/SCI w/CI Polygraph Required
About the Role
Join a high-impact analytics team supporting the evaluation of Intelligence Community (IC) analytic standards. As a Data Scientist IV, you will lead the design, deployment, and analysis of large-scale, complex surveys to drive decision-making and process improvements across critical intelligence operations. Your expertise will influence analytic objectivity, survey methodologies, and advanced data integrations-making a real difference in national security outcomes.
Responsibilities
- Design, test, and administer advanced surveys across multiple digital platforms
- Advise on survey tools and methodologies, ensuring ethical, methodological, and technical rigor
- Troubleshoot and resolve pre-launch and live survey technical issues, with a focus on accessibility and data accuracy
- Consolidate and analyze structured/unstructured survey data using statistical and AI/LLM tools
- Interpret free text responses, integrating AI-driven insights with human review
- Visualize data and develop tailored presentations for senior leadership and key stakeholders
- Drive recommendations to enhance analytic processes and compliance with IC standards
- Develop custom dashboards, queries, and briefing materials featuring actionable insights
Required Skills and Experience
- Active TS/SCI with CI Polygraph
- Bachelor's degree with 8-12 years, or Master's degree with 6-10 years relevant experience
- Deep expertise with survey platforms (e.g., LimeSurvey) and survey data analysis tools (Tableau, Excel, IBM SPSS)
- Advanced knowledge of statistical analysis, data visualization, and quantitative methodologies
- Strong background in intelligence product/process advisement
- Demonstrated ability to communicate complex findings to technical and non-technical audiences
Preferred Skills
- Doctorate in a technical domain
- Knowledge of emerging analytics, big data, and AI/LLM technologies
- Experience supporting assessment of IC analytic standards
- Familiarity with Natural Language Processing, Predictive Modeling, and Hypothesis Testing
Benefits
- Direct visibility and impact on national security projects
- Opportunity to shape analytic standards in a mission-driven environment
- Collaborative, high-caliber team culture with career growth potential
- Potential for conversion to full-time Leidos employment
How to Apply
Qualified candidates with the required security clearance should submit a detailed resume highlighting relevant survey analytics, data science experience, and any intelligence community support. Applicants must be able to work onsite in McLean, VA.