2

Remote Data Scientist Jobs in Bellingham, WA (NOW HIRING)

Remote Data Scientist information

See Bellingham, WA salary details

$39K

$127.6K

$204.2K

How much do remote data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data scientist in Bellingham, WA is $127,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $141,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Bellingham, WA?

The most popular types of Data Scientist jobs in Bellingham, WA are:

What are popular job titles related to Remote Data Scientist jobs in Bellingham, WA?

For Remote Data Scientist jobs in Bellingham, WA, the most frequently searched job titles are:

What cities near Bellingham, WA are hiring for Remote Data Scientist jobs?

Cities near Bellingham, WA with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Bellingham, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,574 per year, or $61.3 per hour.

Project Manager - Capital Projects (Refinery)

America At Work

Blaine, WA • On-site, Remote

$130K - $170K/yr

Full-time

Re-posted 25 days ago


Job description

Join a company with 100+ years of engineering excellence and lead high-impact capital projects in one of the Pacific Northwest's premier refinery operations.

We're seeking an experienced Project Manager to oversee engineering, procurement, fabrication, and construction projects valued up to $30 million. This is an outstanding opportunity for a project leader who thrives in a fast-paced industrial environment and enjoys managing projects from concept through successful completion.

Why Join?

 You'll work alongside industry experts delivering innovative engineering and project management solutions across:

  • Energy & Chemicals
  • Refining
  • Power Generation
  • Life Sciences
  • Mining
  • Food & Beverage
What You'll Do

As the Project Manager, you'll lead capital engineering projects from initiation through closeout while ensuring projects are delivered safely, on schedule, within budget, and to the highest quality standards.

Key Responsibilities
  • Lead engineering and procurement projects valued up to $30M Total Installed Cost (TIC)
  • Manage projects through FEL, detailed engineering, procurement, fabrication, construction, commissioning, and closeout
  • Develop project execution strategies, schedules, budgets, and risk mitigation plans
  • Ensure compliance with safety, environmental, and client requirements while driving a Zero Harm culture
  • Build strong relationships with clients, contractors, and multidisciplinary engineering teams
  • Lead project meetings and communicate progress to stakeholders
  • Oversee project controls, including:
    • Cost management
    • Scheduling
    • Forecasting
    • Change management
    • Risk management
  • Prepare Decision Support Packages for project approvals and funding
  • Identify value engineering opportunities and continuous process improvements
  • Capture lessons learned and implement best practices across projects
Required Qualifications
  • Bachelor's degree in Engineering or another technical discipline (or equivalent experience)
  • 7+ years of experience managing heavy industrial engineering projects
  • 3+ years of Project Management experience
  • Experience managing capital projects in:
    • Refining
    • Petrochemical
    • Chemical Processing
    • Industrial Manufacturing
    • EPC environments
Work Schedule

Location: Blaine, Washington

  • Monday–Thursday: Onsite at refinery
  • Friday: Remote work available (manager approval)

Travel is minimal (less than 10%).

Required Certifications

Successful candidates must be able to obtain:

  • TWIC Card (required before start date)
  • HHFT Safety Training
  • Client Safety Training/Badge

Salary is based on experience, qualifications, and overall fit.

The Company offers a competitive benefits package that supports your health, financial well-being, and professional growth.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.