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Data Science Project Manager Jobs in Seattle, WA

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

... Science team, you will be responsible for a variety of critical tasks, including: ● Managing ... projects, and leveraging solid machine learning and statistical skills to inform data-driven ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA

$156K - $312K/yr

Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. * Dive into operational data to identify ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. * Dive into operational data to identify ...

Honor

Senior Manager, Data Science

Seattle, WA · On-site

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and ... Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Seattle, WA

Data Science Project Manager information

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How much do data science project manager jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science project manager in Seattle, WA is $65.44, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $76.59 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

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

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Seattle, WA? For Data Science Project Manager jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Seattle, WA look for? The top searched job categories for Data Science Project Manager jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Project Manager jobs? Cities near Seattle, WA with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Seattle, WA as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 80% In-person, 6% Hybrid, and 14% Remote job distribution, with an average salary of $136,125 per year, or $65.4 per hour.
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Re-posted 12 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

Apply