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Data Scientist R Remote Jobs in Bellevue, WA (NOW HIRING)

Truveta

Solutions Analyst

Seattle, WA · On-site +1

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... science companies, CROs, other EHR data companies or healthcare using SQL, R and Python.

YO AI Labs

Clinical Document Author - Remote

Seattle, WA · Remote

$50 - $80/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

YO AI Labs

Clinical Document Author - Remote

Seattle, WA · Remote

$50 - $80/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... data science. * 4-6 years of strong experience with the following machine learning topics ...

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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Bellevue, WA

Data Scientist R Remote information

See Bellevue, WA salary details

$42.3K

$138.5K

$221.8K

How much do data scientist r remote jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data scientist r remote in Bellevue, WA is $138,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $153,500.00 per year, depending on experience, location, and employer.

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

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

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

What job categories do people searching Data Scientist R Remote jobs in Bellevue, WA look for?

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

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

Data Scientist R Remote jobs near you

Senior Data Analyst (Remote)

Jobsultant Solutions

Redmond, WA • Remote

$96K - $121K/yr

Full-time

Re-posted 19 days ago

Job description

What you need to know about the role- Were seeking a highly motivated and talented Senior Data Analyst to join the Credit Data Platform team. As a Data Analyst, you will work with stakeholders to define state-of-the-art, large-scale data platforms, and assets Tools. Meet our team- Credit data platforms oversees implementing unique, best-of-breed data solutions using cutting-edge technologies and delivering data solutions that are highly available, scalable, and process data at a massive scale.

Job Description:
You way to impact-

This role will be responsible for supporting global stakeholder departments, working domain leads, and data citizens across different locations such as the Americas, EMEA, and the Asia Pacific because the position requires interaction with geographically disbursed teams, so the candidate must be a self-starter with strong leadership qualities, project/task management skills, analytical skills, and comfortable working with distributed teams.

Your day-to-day-

  • Collaborate closely with the engineering team and provide ongoing support to help implement end-user requirements
  • Ensure the consistency and quality of data solutions completed by the engineering team.
  • Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements.
  • Identifying and refining current and future‐state business processes by performing deep-dive analysis of the current state and proposing future state solutions effectively using clear and precise documentation
  • Firm understanding of business processes and data platforms to design/deliver scalable data solutions to support customer needs

What Do You Need To Bring-

  • Bachelors degree in computer science or engineering discipline with a solid quantitative aptitude
  • 5+ years of experience as a Data Analyst
  • Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements.
  • Identifying and refining current and future‐state business processes by performing deep-dive analysis of the current state and proposing future state solutions effectively using clear and precise documentation
  • Motivation to understand business processes and data platforms to design/deliver scalable data solutions to support customer needs
  • Good understanding of database principles and hands-on experience in advanced SQL to perform complex analysis.
  • Expert knowledge of data modeling concepts; experience with data modeling and generating metadata to support relational & non-relational database implementations; experience building logical and physical data models.
  • Good understanding of distributed systems (Teradata, BiqQuery), data movement, and optimizing ETL processing of vast datasets with specified SLAs.
  • Knowledge of Big data environments and Cloud services (GCP) is a plus.
  • Prior knowledge of any analytical visualization tools like Tableau and QlikView is desirable.
  • Document data solutions for easy business consumption.
  • Strong communication skills, both written and verbal, and skilled at adjusting communication style/vocabulary to an audiences role/function and technical familiarity
  • Basic knowledge and understanding of financial services, especially the credit systems.
  • Proficient in Microsoft Office tools like Excel, PowerPoint, and SharePoint.

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