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

Stripe

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale * Create analyses that generate insights for business teams * Design ...

Meta

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

As a lead data scientist, you will partner with stakeholders, program managers, and other data ... D.) managing and analyzing large-scale data using Python, R, or similar languages * 6+ years of ...

New

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

DocuSign

Data Scientist

Seattle, WA · On-site +1

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with Python or R * Familiarity with data engineering processes * Highly motivated ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... R, with the ability to build, test, and deploy analytical models. * Working knowledge of ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Our remote-first team spans the globe, united by a passion for innovation and great developer ... Strong proficiency in a statistical programming language (Python or R) , including libraries for ...

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to serve as ...

Otter.ai

Data Scientist, Product

Seattle, WA · On-site +1

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... Holds proficiency in SQL for querying large datasets, and expertise in Python and R for data ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities ... Employee divides their time between in-office and remote work. Access to an office location is ...

BECU

Sr Data Scientist - Marketing Analytics

Tukwila, WA · On-site +1

$91K - $169K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Proficiency in Python, R, and SQL Desired Qualifications * Advanced degree (Master'sor PhD) in a ...

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

Data Scientist R Remote information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

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

As of Jun 18, 2026, the average yearly pay for data scientist r remote 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 are Data Scientist R Remote jobs?

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.

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 are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

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.

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 Seattle, WA? For Data Scientist R Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Seattle, WA look for? The top searched job categories for Data Scientist R Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Scientist R Remote jobs? Cities near Seattle, WA with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in Seattle, WA as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95K - $106K/yr

Other

Posted 12 days ago

Job description

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

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