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Manager 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 ... Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects ...

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

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for ...

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Title: Sr Data Scientist Client: Savers Inc Location: Seattle, Washington, Preferred Hybrid, 2 days ... Experience with MLflow for experiment tracking, model registry, and lifecycle management (native ...

Principal Data Scientist

Redmond, WA · On-site

$142K - $274K/yr

Demonstrated stakeholder management ability including effective prioritization, clear and concise ... Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 ...

The Principal Data Scientist will lead efforts in defining metrics, designing experiments, and ... Partner effectively with program management, engineers, and other areas of the business across our ...

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 ... Manage Model Lifecycle: Monitor model performance, evaluate results, and optimize models over time ...

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA. Opendoor is transforming ... Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ...

Principal Data Scientist

Redmond, WA · On-site

$188K - $304K/yr

Our team manages the marketplace, which includes monitoring business metrics, defining metrics ... We are looking for a Principal Data Scientist leader, creative modeling geeks who are willing to ...

Partner effectively with program management, engineers, and other areas of the business across our ... Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ...

... g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics ...

Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data ...

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 ... Manage Model Lifecycle: Monitor model performance, evaluate results, and optimize models over time ...

Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data ...

... g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics ...

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Manager Data Scientist information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do manager data scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for manager data scientist in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Scientist, and why are they important?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a Manager Data Scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What are Manager Data Scientists?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
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 cities near Bothell, WA are hiring for Manager Data Scientist jobs? Cities near Bothell, WA with the most Manager 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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