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

Meta

Data Scientist, Product Analytics

Seattle, WA

$147K/yr

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 ...

Meta

Data Scientist, Product Analytics

Redmond, WA

$147K/yr

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 ...

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

Within the Data Operations organization, the Capacity Planning & Analytics team provides ... We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ...

Meta

Data Scientist, Product Analytics

Bellevue, WA

$147K/yr

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 ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Data Scientist Company: PACCAR Requisition Summary As a Data Scientist you'll support the growth of ... This position is part of the Advanced Analytics team, a collaborative group that creates analytics ...

Software Technology Inc

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist with expertise in Agentic AI and Microsoft AI ... Build and optimize Machine Learning models for predictive analytics, automation, and decision ...

PACCAR

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+ ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

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;

PACCAR

Data Scientist

Renton, WA

$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+ ...

PACCAR

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+ ...

Meta

Data Scientist, Product Analytics

Bellevue, WA

$177K/yr

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 ...

Meta

Data Scientist, Product Analytics

Seattle, WA

$177K/yr

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 ...

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All JobsAnalytics Data Scientist JobsAnalytics Data Scientist Jobs in Seattle, WA

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 Aug 14, 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 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.

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.

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.

Is data analytics a high demand job?

Data analytics is a high-demand field, with organizations across industries seeking skilled data scientists to interpret large datasets, improve decision-making, and develop predictive models. The role often requires proficiency in tools like SQL, Python, or R, and the demand is expected to grow as data-driven strategies become more central to business operations.

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:

Analytics Data Scientist jobs near you
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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Data Scientist, Product Analytics

Meta

Seattle, WA

$147K/yr

Full-time

Re-posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
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 technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
  • 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
  • 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications:
  • Master's or Ph.D. Degree in a quantitative field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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