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

Axon

AI Scientist I

Seattle, WA · On-site +1

Senior Manager, Research Science * Research and develop advanced MLLMs, GenAI, and Computer Vision ... Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

1 point system

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 ...

Meta

Data Engineer, Product Analytics

Redmond, WA · On-site +1

$147K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Bachelor's degree in CS, Data Science, or a related technical field. * Soft Skills: Exceptional ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical ...

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Renton, WA

Remote Data Scientist information

See Renton, WA salary details

$42.2K

$138.1K

$221K

How much do remote data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote data scientist in Renton, WA is $138,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $153,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Remote Data Scientist jobs

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

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

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

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

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The top searched job categories for Remote Data Scientist jobs in Renton, WA are:

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

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

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Renton, 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 $138,059 per year, or $66.4 per hour.

Staff Data Scientist, Clinical Performance

Pearl Health

Seattle, WA • On-site, Remote

$160K - $200K/yr

Full-time

Re-posted 23 days ago

Job description

The Opportunity
As a Staff Data Scientist on the Clinical Performance team, you will be the head developer of the predictive models that power Pearl Health's impact on the American healthcare system. Reporting to the Senior Director of Clinical Performance, you will tackle the massive challenge of predicting patient behavior and outcomes and building risk stratification and forecasting engines to improve quality performance across various value-based care programs. In addition to the focus on machine learning and forecasting, you will be a key player in untangling overlapping clinical interventions to isolate exactly what drives better patient outcomes and financial sustainability. You will play a defining role in building the feedback system that guides our company strategy and validates our mission to empower primary care providers.
Who We Are
Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes.
Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare.
What You'll Do
You will lead the design and implementation of advanced causal inference and statistical frameworks to measure and forecast the effectiveness of Pearl's clinical products and operational services.
  • Develop and deploy ML models to predict patient outcomes and forecast clinical quality measures.
  • Design and build the scalable systems required to conduct rigorous impact analyses to isolate the true "Pearl Effect" on patient populations.
  • Partner with Engineering and Analytics to build robust data pipelines and ML infrastructure that support automated, repeatable performance measurement.
  • Collaborate with Product and Clinical Operations leaders to turn complex statistical findings into actionable narratives that influence product roadmaps and practice coaching.
  • Architect and oversee AI-driven agents that autonomously manage the end-to-end lifecycle of our statistical models

What You'll Bring
  • Master's degree or higher in Statistics, Economics, Biostatistics, Epidemiology, or a related quantitative field, with 8+ years of experience in data science or quantitative analytics.
  • Strong experience building and deploying machine learning models for prediction, forecasting, or risk modeling.
  • Proven expertise in causal inference methods, including techniques such as difference-in-differences, propensity score matching, or synthetic controls.
  • Expert proficiency in Python and SQL, with experience developing scalable data science solutions in cloud environments (AWS, Snowflake, dbt). Experience with SageMaker is a plus.
  • Excellent communication skills, with the ability to translate complex statistical concepts into actionable insights for technical and non-technical stakeholders.
  • Experience working with healthcare quality measures (eCQMs, HEDIS, MSSP, ACO REACH, or similar CMS programs) is preferred.

Our Values
Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions.
Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians, and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate.
♥ Serious Impact, Big Heart: We go above and beyond to empower proactive, patient-centered care - and we celebrate every step forward. Humor and positivity fuel our creativity and strengthen relationships.
We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination.
What We Offer
The expected offer for this role includes the following components:
  • Base Salary Range: $160,000 -$200,000 per year
  • Additional Compensation: Eligible for a discretionary performance bonus and equity options
  • Benefits: We offer a competitive benefits package. More on our careers page.

Final compensation will be determined by a variety of factors, including relevant skills, experience, labor market conditions, and location.
Agency Submissions
We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.
The Interview Process
While steps may vary by role, you can typically expect:
  • Recruiter Screen: Introductory call to discuss background and motivation
  • Hiring Manager Interview: A deeper-dive conversation with your potential manager.
  • Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge.
  • Panel Interview: A round of meetings with teammates and cross-functional partners.
  • Executive Interview: Final conversation(s) with 1-2 of our leaders.

Apply