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Work From Home Data Scientist Machine Learning Jobs in Seattle, WA

Atlassian

Senior Machine Learning Manager

Seattle, WA · On-site +1

... manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet ... Partner with cross-functional leadership (product, engineering, data science) to drive product ...

MindSource

Research Scientist

Seattle, WA · Remote

More specifically, they will work on ensuring that we build models that will accelerate the ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

MindSource

Research Scientist

Seattle, WA · Remote

More specifically, they will work on ensuring that we build models that will accelerate the ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

... data that is trapped inside of documents. Until now, these were disconnected from business systems ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...

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All JobsData Scientist Machine Learning JobsWork From Home Data Scientist Machine Learning JobsWork From Home Data Scientist Machine Learning Jobs in Seattle, WA

Work From Home Data Scientist Machine Learning information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do work from home data scientist machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for work from home data scientist machine learning in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a work from home data scientist machine learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What are the key skills and qualifications needed to thrive as a work from home data scientist machine learning?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a data scientist specializing in machine learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What cities near Seattle, WA are hiring for Work From Home Data Scientist Machine Learning jobs?

Cities near Seattle, WA with the most Work From Home Data Scientist Machine Learning job openings:

Work From Home Data Scientist Machine Learning jobs near you

Principal Machine Learning Engineer (10187)

Extreme Networks

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Principal Machine Learning Engineer

Position type: Full time

Location: Seattle, WA

Position reports to: Director of Software Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time 

About the Position:
  • Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data
    Experience : 10+ Years
    Seattle, WA - Hybrid
     
    Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. 
Required Skills & Expertise:
  • Degree in mathematics/computer science or related discipline.
  • 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
Equal Employment Opportunity
  1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
  2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.
This role offers a market‑competitive salary with an anticipated base compensation range of 150,000 to 200,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below. Benefits and total rewards:

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

  • Medical, dental, and vision insurance
  • Flexible work schedules and work-from-home opportunities where role permits
  • Paid time off, including open time off in eligible markets and statutory leave in all markets
  • Paid holidays in accordance with local practice
  • Retirement savings programs, including RRSP matching in Canada
  • Employee Stock Purchase Program, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

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.