ZipRecruiter

Log In

1

Data Science Project Manager Jobs in Seattle, WA

Life Science Washington

Data Scientist III

Seattle, WA · On-site

$126.98 - $200.68/hr

Manage data science projects from creation to completion, following established practices for data security, privacy, and compliance. * Communicate results to technical and non-technical audiences ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Chewy

Director, Data Science

Bellevue, WA · On-site

You will lead a team of data scientists building the intelligence layer across the full advertising ... management - orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced ...

Chewy

Director, Data Science

Bellevue, WA

You will lead a team of data scientists building the intelligence layer across the full advertising ... management -- orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Liberty Mutual

Director, Data Science

Seattle, WA · On-site +1

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior ... Proven ability to lead and drive projects and assignments to completion through others, to include ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Partner closely with Product Management, Engineering, Clinical, and Infrastructure teams to ...

Salesforce, Inc.

Data Science Principal

Seattle, WA · On-site

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... projects to influence topline decision making What you should have: 7+ years of experience in ...

New

Compass

Lead Data Scientist

Seattle, WA · On-site

$175K - $195K/yr

... science projects. * Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference). * Extensive practical experience architecting solutions using a broad ...

New

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

next page

Showing results 1-20

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

Data Science Project Manager information

See Seattle, WA salary details

$19

$65

$91

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

As of Aug 26, 2026, the average hourly pay for data science project manager in Seattle, WA is $65.45, 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 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.

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 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.

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 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 August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $136,204 per year, or $65.5 per hour.

Trainee Consultant-Data Science

Seattle, WA • On-site

Applexus Technologies
IT Services • 201 - 500 employees
Learn more about Applexus Technologiesexternal

Full-time

Re-posted 15 days ago

Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
Join the Team

Apply