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Manager Data Scientist Jobs in Bothell, WA (NOW HIRING)

We are seeking an experienced Data Scientist with expertise in Agentic AI and Microsoft AI ... Utilize Azure AI Foundry to build, manage, and operationalize Generative AI and Large Language ...

Data Scientist

Renton, WA

$104K - $146K/yr

Requisition Summary As a Data Scientist you'll support the growth of PACCAR Parts by using industry-leading tools such as AWS, Snowflake, and Python to build, deploy, and manage AI and machine ...

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 ...

Overview We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft ... Our team manages the marketplace, which includes monitoring business metrics, defining metrics ...

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Requisition Summary As a Data Scientist you'll support the growth of PACCAR Parts by using industry-leading tools such as AWS, Snowflake, and Python to build, deploy, and manage AI and machine ...

Data Scientist

Renton, WA

$104K - $146K/yr

Requisition Summary As a Data Scientist you'll support the growth of PACCAR Parts by using industry-leading tools such as AWS, Snowflake, and Python to build, deploy, and manage AI and machine ...

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 ...

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

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 ...

Experience managing cross-functional initiatives involving Product, Engineering, Monetization ... Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274 ...

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 ...

Work with senior management, technical and client teams in order to determine data requirements ... Bachelor's degree in a technical field such as computer science, computer engineering or related ...

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 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 ...

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Showing results 1-20

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 Jul 30, 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:
Infographic showing various Manager Data Scientist job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $184,472 per year, or $88.7 per hour.

Senior Manager, Data Scientist - Growth Marketing

Expedia

Seattle, WA

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago


Expedia Group rating

7.9

Company rating: 7.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

6th of 11 rated travel agencies


Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Senior Manager, Data Scientist - Growth Marketing

A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on the most complex, ambiguous problems facing the channel - cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level. Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team's roadmap against business impact.

Experience & Qualifications:

  • PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).

  • 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure.

  • Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders.

  • Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.

  • Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement.

Functional / Technical Skills

  • People leadership: coaching, performance management, hiring, career development, and technical mentorship.

  • Strategic thinking and the ability to operate and lead a team through ambiguity.

  • Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.

  • Machine learning theory and applied practice.

  • Data engineering fundamentals: pipelines, automation, scalable dashboards.

  • Stakeholder influence and communication at senior (Director / VP / SVP) levels.

  • Storytelling and data visualization for both technical and non-technical audiences.

  • Strong business acumen and domain judgment.

In this role, you will:

People Leadership & Team Development

  • Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development.

  • Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms.

  • Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual.

  • Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking.

  • Builds a collaborative, transparent, and inclusive team culture; represents the team's work and needs to senior leadership.

Strategy & Handling Ambiguity

  • Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery.

  • Frames complex, open-ended business problems as tractable analytics problems and sequences them into manageable workstreams for the team.

  • Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask.

  • Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team's agenda around them.

Thought Leadership - Cross-Channel Performance & Innovative Measurement

  • Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO.

  • Advances the measurement toolkit - incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit methods - and selects the right technique for each question, articulating trade-offs between simpler and more complex approaches.

  • Critically evaluates new methods, tools, and datasets, pilots promising ones, and scales what works into repeatable practice.

  • Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value.

  • Sets the standard for interpreting model output correctly, iterating, and distinguishing statistically significant readouts from exploratory analysis.

Automation & Data Engineering

  • Owns the automation strategy for the team's data-heavy recurring processes - weekly, monthly, and quarterly reporting (WBR / MBR / QBR) - reducing manual effort and freeing capacity for higher-value analysis.

  • Directs the design of scalable dashboards and scheduled reporting covering multiple scenarios (geo, web and app, brand), and empowers stakeholders with self-serve access and training.

  • Guides the team in building shareable, efficient, well-documented code and data pipelines; champions reproducibility via tools such as GitHub and Confluence.

  • Applies and enforces best practices for data quality, query cost and performance optimization, and integration across disparate sources.

  • Writes and reviews advanced SQL (views, tables, partitions, window functions such as RANK() OVER / PARTITION BY) and works fluently across SQL flavors and querying tools; knows the most important data sources for SPP and the wider business and how to unblock data issues to resolution.

Stakeholder Engagement & Communication

  • Regularly interacts with and influences stakeholders through VP/SVP level; builds trust and works transparently across the business.

  • Independently articulates project goals, methodology, caveats, and conclusions to technical and non-technical audiences, tailoring executive summaries and presentations to the audience's goals and technical level.

  • Tells a clear, concise story and presents insight rather than data; creates the right artifacts (technical documentation, presentations, executive summaries) for the right forum.

  • Identifies and engages domain experts and stakeholders early to sharpen the business question, feature selection, and relevance of outputs.

  • Not easily deterred by organizational barriers to sharing results or effecting change; follows through to impact.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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