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Remote Data Scientist Machine Learning Jobs in Everett, WA

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience ...

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

As a lead data scientist, you will partner with stakeholders, program managers, and other data ... Utilize expertise in statistics, machine learning, optimization, and automation to develop ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

New

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products * Partner closely with Sales and Data Science teams to ...

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

... to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to ... machine learning. * Exceptional written and verbal communication -- the ability to make complex ...

Data Scientist, Product

Seattle, WA · On-site +1

$155K - $185K/yr

Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * Has 3+ ...

Principal, Data Scientist - Code Puppy AI & Data | Walmart Global Tech Position Summary Join the Associate AI Experiences team to apply advanced data science, machine learning, and agentic AI to ...

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping create a win-win ...

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Remote Data Scientist Machine Learning information

See Everett, WA salary details

$41.4K

$135.6K

$217.1K

How much do remote data scientist machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data scientist machine learning in Everett, WA is $135,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $150,200.00 per year, depending on experience, location, and employer.

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Everett, WA? For Remote Data Scientist Machine Learning jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Everett, WA look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Everett, WA are:
What cities near Everett, WA are hiring for Remote Data Scientist Machine Learning jobs? Cities near Everett, WA with the most Remote Data Scientist Machine Learning job openings:
Senior Applied AI & Machine Learning Scientist

Senior Applied AI & Machine Learning Scientist

Team Red Dog

Redmond, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Team Red Dog is hiring a Senior Applied AI & Machine Learning Scientist for our client, a world-class innovation client and AI-driven technology organization. In this fully remote role, you will work alongside leading researchers to transform emerging AI and machine learning innovations into working prototypes, experiments, and scalable solutions that shape the future of intelligent products and services. You'll apply machine learning, generative AI, rapid prototyping, software engineering, and data science expertise to evaluate cutting-edge research, build proof-of-concepts, and develop evaluation frameworks that influence future technology investments. This is an exceptional opportunity for a technically curious builder who thrives in fast-paced research environments where innovation, experimentation, and real-world impact intersect.

Top Required Skills (Must Haves):

  1. Machine Learning & Applied AI Development (5-7 years) – Develop, fine-tune, validate, and optimize machine learning models, foundation models, and generative AI solutions while translating research into production-ready prototypes.
  2. Data Science, Experimentation & Model Evaluation (5-7 years) – Design experiments, build evaluation frameworks, benchmark model performance, analyze datasets, and generate actionable insights that guide research and product decisions.
  3. Software Engineering & Rapid Prototyping (5-7 years) – Build proof-of-concepts, AI-powered applications, experimentation platforms, and data-intensive systems using modern software engineering practices and AI-assisted development tools.
  4. Programming & AI Technologies – Strong coding experience with Python and modern AI frameworks, including experience with multimodal models, retrieval-augmented generation (RAG), agentic systems, and emerging machine learning technologies.

Opportunity Overview:

Join a highly collaborative Research organization where breakthrough AI research becomes practical innovation. Rather than focusing on a single product, you'll contribute across multiple cutting-edge initiatives—including language models for underrepresented languages, AI-powered weather prediction for energy applications, and next-generation memory-based and policy-driven AI architectures. Every project presents new technical challenges, offering exceptional variety, autonomy, and the opportunity to influence future Microsoft technologies.

How you will make an impact:

  • Collaborate with Research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems.
  • Design and execute quantitative and qualitative experiments to measure model performance, user engagement, technology adoption, and research impact.
  • Build evaluation frameworks, benchmarks, and success metrics for foundation models, generative AI systems, multimodal experiences, and agent-based workflows.
  • Fine-tune, validate, benchmark, and improve machine learning models using real-world datasets and emerging research techniques.
  • Develop rapid prototypes and proof-of-concepts that enable researchers and stakeholders to evaluate the practical value of new technologies.
  • Gather system requirements, develop software solutions, and implement machine learning applications to meet evolving research objectives.
  • Analyze enhancement requests, improve existing software, and perform debugging, testing, and post-deployment validation.
  • Create software specifications, testing plans, migration packages, and quality assurance reviews to support successful implementation.
  • Stay current with advances in machine learning, generative AI, agentic systems, multimodal AI, and evaluation methodologies to identify opportunities for future innovation.
  • Present technical findings and experimental results that influence research priorities, product strategy, and investment decisions.

The expertise you bring:

  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or another technical discipline.
  • 5-7 years of professional experience in machine learning, applied AI, software engineering, or data science.
  • Strong technical foundation in machine learning, software engineering, statistics, and experimental design.
  • Experience building AI-powered applications, machine learning systems, experimentation platforms, or data-intensive software solutions.
  • Hands-on experience evaluating, debugging, improving, and validating machine learning models and AI applications.
  • Strong programming skills, including Python and modern AI development frameworks.
  • Experience with foundation models, generative AI, multimodal models, retrieval-augmented generation (RAG), agentic systems, or related AI technologies.
  • Ability to rapidly learn new technologies and contribute effectively in highly ambiguous, research-focused environments.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Ability to work remotely while collaborating effectively with distributed engineering and research teams in an EST-friendly schedule.
  • Availability to commit to a minimum 12-month engagement.

What makes a candidate highly successful in this role:

Successful candidates combine deep technical expertise with exceptional adaptability and curiosity. They are comfortable moving quickly between research papers, datasets, prototypes, and production-quality systems while learning new technologies in just a few days and delivering meaningful results within a week. They bring hands-on experience using AI-assisted development tools, excel in rapidly changing research environments, communicate complex technical concepts clearly, and enjoy collaborating across engineering, product, and research disciplines to transform innovative ideas into real-world solutions.

Why Work with Team Red Dog?

At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions—because we believe your career should reflect who you are.

Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us—and discover what it means to be genuinely valued in your career.

Generous benefits package for qualified employees includes:
• Health insurance (medical, dental, vision, and life)
• Employer-matched 401K plan
• Paid time off
• Paid holidays

Estimated Start Date: Immediately

Location: Remote (U.S.) – Eastern Time Zone Preferred

Job #: 2544

Job Type and Estimated Duration: W2 contract opportunity through 6/30/2027, with potential for extension subject to performance, budget and client discretion.

Rate:
$14,500 - $17,000 per month

Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.

We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.

• All applicants must be authorized to work in the U.S. without the need for sponsorship.
• Team Red Dog is an E-Verify employer.
• Employment is contingent upon the successful completion of a reference and background check.
• Please no solicitations from C2C or recruiting firms.