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Data Scientist Jobs in Bothell, WA (NOW HIRING)

As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. Are you passionate about solving the most ...

Data Scientist Location: Redmond, WA (Onsite) Interview: 2 Rounds (2nd Round Face-to-Face) Local Candidates Only Rate: Open Job Summary: We are looking for a Data Scientist with strong experience in ...

Meta is seeking a skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with sta.

New

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the ...

New

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Partner closely with Sales and Data Science teams to identify important questions and answer them with data * Design, implement and launch data science solutions using Python and R to empower data ...

As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments ...

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Partner closely with Sales and Data Science teams to identify important questions and answer them with data * Design, implement and launch data science solutions using Python and R to empower data ...

Title: Sr Data Scientist Client: Savers Inc Location: Seattle, Washington, Preferred Hybrid, 2 days a week- Skills: Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI ...

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is ...

Only W2, No C2C - Onsite We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has deep passion for building data-driven ...

Data Scientist (Data Science)

Everett, WA · On-site

$173K - $234K/yr

Data Scientist (Data Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data Scientist (Level 3 or 4) to join the Supply Chain Functional Excellence organization ...

Data Scientist (Data Science)

Everett, WA · On-site

$173K - $234K/yr

Data Scientist (Data Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data Scientist (Level 3 or 4) to join the Supply Chain Functional Excellence organization ...

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA. Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at ...

Data Scientist

Tukwila, WA · On-site

$75K - $140K/yr

IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand and engage with our members by turning complex data into meaningful insights and predictive solutions. You'll build ...

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand and engage with our members by turning complex data into meaningful insights and predictive solutions. You'll build ...

Principal Data Scientist

Redmond, WA · On-site

$142K - $274K/yr

We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. Microsoft's mission is to empower every person and every organization on the ...

The Principal Data Scientist will lead efforts in defining metrics, designing experiments, and driving data-driven insights to enhance product and service improvements. Responsibilities : • ...

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How much do data scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and communicate findings to stakeholders.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is generally not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What jobs does data science do?

Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What are popular job titles related to Data Scientist jobs in Bothell, WA? For Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Bothell, WA look for? The top searched job categories for Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Scientist jobs? Cities near Bothell, WA with the most Data Scientist job openings:
Data Scientist

Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

Posted 16 days ago


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

49th of 191 rated software companies


Job description

Overview
GPUs are one of the most valuable resources in the world as they are a critical hardware component to power AI. As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. Are you passionate about solving the most interesting and challenging AI questions of our time? Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. Please apply if you possess technical prowess, a methodical - data driven - approach to problem solving, and a mastery of templating to architect solutions that stand the test of time. We highly value people who will bring an abundance of positive energy, empathy, and kindness to the team every day. The abuse prevention team is responsible for identifying instances of abuse within copilot and blocking or mitigating those instances. You will be a critical component to keeping copilot safe and productive for all. 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.
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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Drive product insights, opportunity analysis, and track metrics to support eRorts across Microsoft Copilot.
  • Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation.
  • Define metrics and build basic data pipelines to enable A|B experimentation for new features and mitigating abusive users.
  • Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
  • Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving
    product features and proposing innovation solutions based on data.
  • Embody our Culture and Values.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred Qualification
  • 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.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 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 $160,200.00 - $261,000.00 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
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 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 $188,000.00 - $304,200.00 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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