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Data Science Jobs in Everett, WA (NOW HIRING)

Microsoft

Principal Data Scientist - CoreAI

Redmond, WA · On-site

$188K - $304K/yr

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product ...

Staffingine LLC

Data Scientist

Redmond, WA · On-site

Required Skills: * 5+ years of experience in Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with ...

Stryker

Data Science Intern - Remote

Seattle, WA

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Nexxen International Ltd

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

You'll collaborate with data science teammates, talented engineers and product experts to produce solutions with direct impact on company performance. This role will be based in the Bellevue or New ...

ZS

Advanced Data Science Consultant

Bellevue, WA · On-site

$175K - $195K/yr

As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to ...

Stryker

Data Science Intern - Remote

Seattle, WA · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Stryker

Data Science Intern - Remote

Bellevue, WA

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Stryker

Data Science Intern - Remote

Bellevue, WA · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Meta

Data Science Director

Bellevue, WA · On-site

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Microsoft

Senior Data Scientist - FDE

Redmond, WA · On-site

Apply the latest advancements in AI and data science to solve problems at scale Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we ...

Divisions Maintenance Group

Sr. Data Scientist

Seattle, WA · On-site

$110 - $140/hr

Job Summary We are currently building out a Marketplace Health and Pricing team and, as part of that, building a Data Science practice, with the goal of better leveraging advanced analytic solutions.

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All JobsData Science JobsData Science Jobs in Everett, WA

Data Science information

See Everett, WA salary details

$41.4K

$135.6K

$217.1K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in Everett, WA is $135,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $150,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Everett, WA?

The most popular types of Data Science jobs in Everett, WA are:

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For Data Science jobs in Everett, WA, the most frequently searched job titles are:

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The top searched job categories for Data Science jobs in Everett, WA are:

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Cities near Everett, WA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Everett, 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 $135,586 per year, or $65.2 per hour.

Principal Data Scientist - CoreAI

Microsoft

Redmond, WA • On-site

$188K - $304K/yr

Full-time

Posted 26 days ago

Key responsibilities

  • Supply executives with time-critical analyses that steer major investment decisions.

  • Identify and prioritize high ROI data opportunities for your individual work and the broader team.

  • Operationalize models and reporting.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

69th of 247 rated software companies

Job description

Overview
At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem.
We're looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft's developer-focused AI suite and drives product growth.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Supply executives with time-critical analyses that steer major investment decisions.
  • Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
  • Identify and prioritize high ROI data opportunities for your individual work and the broader team.
  • Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
  • Mentor other data scientists, engineers, and PMs.
  • Operationalize models and reporting.
  • Leverage AI to accelerate workflows and amplify team productivity.

Qualifications
Required/Minimum Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
      • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
        • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:
  • 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins.
  • 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R.
  • 5+ years of experience designing and analyzing experiments and causal inference studies.
  • 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses.
  • Experience using AI tools in data science and analytics workflows.
  • Experience both prototyping and deploying data products.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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