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

Cutsforth, Inc

Jr. Data Engineer

Ferndale, WA · On-site +1

$84K - $117K/yr

Remote position- Required 1 week of training at our Washington office * Employment Type ... If you thrive at the intersection of engineering rigor and data science innovation, this one's for ...

Cutsforth, LLC

Jr. Data Engineer

Ferndale, WA · Remote

Remote position- Required 1 week of training at our Washington office * Employment Type ... If you thrive at the intersection of engineering rigor and data science innovation, this one's for ...

Cutsforth, Inc

Full Stack Developer

Ferndale, WA · On-site +1

$121K - $154K/yr

Remote but 2 weeks of mandatory training onsite * Employment Type: Full-time * Employment Status ... data encryption) Preferred Qualifications: * Master's degree in Computer Science, Software ...

Cutsforth, LLC

Full Stack Developer

Ferndale, WA · Remote

Remote but 2 weeks of mandatory training onsite * Employment Type: Full-time * Employment Status ... data encryption) Preferred Qualifications: * Master's degree in Computer Science, Software ...

Cutsforth, Inc

Embedded Software Engineer

Ferndale, WA · On-site +1

$103K - $129K/yr

Fully remote position, home office * Employment Type: Full-time * Employment Status : Exempt ... Supports company products with embedded software tools for data collection from a variety of ...

Cutsforth, LLC

Jr. Full Stack Developer

Ferndale, WA · Remote

Remote * Employment Type: Full-time * Employment Status: Exempt, salaried * Visa sponsorship is not ... Design and consume RESTful APIs that support real-time data exchange between utility systems and ...

Cutsforth, Inc

Jr. Full Stack Developer

Ferndale, WA · On-site +1

$106K - $132K/yr

Remote * Employment Type: Full-time * Employment Status: Exempt, salaried * Visa sponsorship is not ... Design and consume RESTful APIs that support real-time data exchange between utility systems and ...

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Bellingham, WA

Remote Data Science information

See Bellingham, WA salary details

$23.5K

$104.4K

$199.3K

How much do remote data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data science in Bellingham, WA is $104,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,934.00 and $144,822.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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Remote Data Science jobs near you
Jr. Data Engineer

Jr. Data Engineer

Cutsforth, Inc

Ferndale, WA • On-site, Remote

$84K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Role Information:
  • Job Title: Jr. Data Engineer
  • Work Location: Remote position- Required 1 week of training at our Washington office
  • Employment Type: Full-time
  • Employment Status: Exempt, salaried
  • Visa sponsorship is not available for this position.
  • Must reside in the United States.
  • We are not accepting applicants for remote workers in California, Illinois, and New York at this time.

Compensation:
  • $84,299-$117,636- depending on years of experience
Role Overview:
We're looking for a skilled and curious Jr. Data Engineer to join our team and help shape the future of how we use data to drive real operational outcomes. In this role, you'll design and maintain scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets, including machine health and time-series data - into actionable insights. If you thrive at the intersection of engineering rigor and data science innovation, this one's for you.
Key Responsibilities:
  • Regularly design, develop, and maintain data pipelines and ML workflows to support operational and analytical needs
  • Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks
  • Analyze and interpret complex datasets, including time-series and machine health data to surface meaningful insights and support decision-making
  • Build, validate, and monitor AI/ML models in production, proactively identifying and resolving performance issues
  • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams
  • Participate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goals
  • Stay current with advancements in AI/ML techniques, tools, and industry-specific applications, particularly within power, oil, and gas environments
  • Document processes, models, and systems in a way that supports knowledge sharing and team continuity
Required Qualifications:
  • 2-5 years of experience in data engineering, data science, or a related technical role
  • 2+ years of hands-on experience with AI/ML modeling, including building and deploying models in production environments
  • Strong proficiency in Python for data engineering and machine learning workflows
  • Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment)
  • Demonstrated ability to collaborate effectively across cross-functional teams
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
Preferred Qualifications:
  • Master's degree in a relevant technical discipline
  • Experience working with machine health datasets and/or condition monitoring applications
  • Background in the power, oil, or gas industry - understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus
  • Familiarity with time-series data modeling, forecasting, and anomaly detection techniques
  • Experience with cloud-based ML platforms (Azure) and orchestration tools
Other Qualifications:
  • Successfully pass background check for cybersecurity access requirements.
Cybersecurity Role Expectations:
  • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
  • Candidate is expected to maintain a cybersecure work environment.
Benefits:
  • Medical, Vision, Dental Insurance
  • Health Savings Account with Employer contributions
  • 401(k) with Employer match
  • Short-term & Long-term Disability Coverage
  • Accidental Death & Dismemberment Coverage
  • Life Insurance Coverage
  • 80 hours of Paid-Time-Off annually
  • Eight paid holidays per year
  • All other benefits required by applicable law

Alignment with Corporate Values
All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth's Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.
  • Learn more about Cutsforth here: Cutsforth.com/About
  • Read our Mission & Values here: Cutsforth.com/Values

Equal Employment Opportunity Statement:
Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.
For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants
California Privacy Notice:
If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.
For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

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