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

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 ...

Data/AI Solutions Architect

Seattle, WA · Remote

$180K - $210K/yr

LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ... A Bachelor's degree in Engineering, Computer Science, or a related field is required; an advanced ...

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 ...

We're always looking to connect with exceptional remote talent across the U.S. If you don't see a ... Product & Engineering (software engineering, platform, QA, DevOps) * Data Science & Analytics ...

Director, Data Operations

Seattle, WA · On-site +1

$207K - $267K/yr

Anywhere in the US Hybrid if in San Jose CA or San Francisco, California Remote if no office is ... Minimum Qualifications Bachelor's or Master's degree in Business, Data Science, Statistics ...

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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 Jul 9, 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 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:
Infographic showing various Data Scientist R Remote job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.
Director I, Data Science, People, Purpose & Brand

Director I, Data Science, People, Purpose & Brand

Liberty Mutual

Seattle, WA • On-site, Remote

Full-time

Re-posted 10 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

31st of 278 rated insurance


Job description

Description

The Data Science and Assessments (DS&A) team within People, Purpose, & Brand (PP&B) is hiring a Director I, Data Scientist (STP) to serve as a hands-on technical leader for GenAI evaluation, enablement, and responsible AI adoption. PP&B develops programs across talent acquisition, workforce planning, performance & rewards, employer branding, and wellbeing to build a diverse, future-ready workforce.

In this role, you will shape how DS&A generates, evaluates, and scales ML and GenAI-based programs and tooling to improve productivity, decision-making, and employee experience across PP&B. Core responsibilities span three areas:

  • GenAI Enablement: Design, build, and maintain evaluation frameworks and pipelines that accelerate the creation, iteration, and safe expansion of GenAI capabilities, including agentic workflows, data readiness, and post-deployment monitoring.
  • Vendor & AI/ML Risk Management: Define and execute a vendor-AI evaluation vision enabling repeatable vendor selection, value validation, quality monitoring, and responsible model risk management.
  • Broader Data Science: Support classic ML, automation, and technical consulting to empower PP&B colleagues and drive enterprise-wide outcomes.

This individual contributor role reports through the Office of Data & Data Science. The ideal candidate is proactive, highly technical, and collaborative; able to translate complex tradeoffs into clear, actionable recommendations that drive meaningful impact.

Key Responsibilities

  • Architect, develop, and maintain tooling and pipelines to support GenAI model development, evaluation, deployment, and monitoring across PP&B programs.
  • Design and operationalize scalable evaluation frameworks and metrics for GenAI systems (including automated and human-in-the-loop evaluations) to ensure quality, safety, and organizational alignment.
  • Lead the vendor AI evaluation program: define criteria, run benchmarks and pilots, synthesize results, and provide clear recommendations for vendor selection and integration.
  • Build reusable components leveraging APIs and templates that enable rapid iteration and reliable deployment of GenAI features.
  • Partner with stakeholders across PP&B to translate business needs into technical designs, evaluation plans, and implementation roadmaps.
  • Promote strong engineering hygiene across projects (CI/CD, version control, testing, documentation, reproducible pipelines).
  • Provide informal mentorship for data science and analytics colleagues on tools and evaluation processes.
Qualifications
  • Strong foundation in Data Science principles (Probability, Statistics, AI/ML).
  • Experience with LLMs, embeddings, and generative/agentic systems.
  • Proficient in Python; comfortable writing production-quality code.
  • Strong SQL skills for querying, validation, and data exploration.
  • Experience with APIs and integrating external model or vendor services.
  • Familiarity with cloud computing concepts and services.
  • Experience evaluating models for fairness, bias, privacy, explainability, or responsible AI.
  • Comfortable with Git-based version control and collaborative code review.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree and a minimum of 8 years of relevant experience.

What We Value

  • A collaborative, customer-focused mindset oriented toward pragmatic, high-impact solutions and enabling others.
  • Strong project management skills: building clear plans, coordinating across stakeholders, and driving accountability.
  • Clear communication of technical tradeoffs, evaluation results, and recommendations to both technical and non-technical audiences.
  • Product-minded engineering: building systems that are maintainable, scalable, and easy to adopt.
  • A bias toward action combined with rigorous attention to evaluation and safety.

Work Arrangement & Travel

  • Telecommuting up to 60% when near an office; 100% remote supported otherwise.
  • Travel up to 10% for team meetings, planning sessions, or stakeholder engagements.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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