2

Remote Science Jobs in SeaTac, WA (NOW HIRING)

Director, Data Science

Seattle, WA · On-site +1

$156K - $281K/yr

Otherwise, this role is remote with occasional travel.** Qualifications • Deep knowledge of ... Science or other relevant field of study) and 5 to 7 years of relevant experience or may be ...

New

Otherwise, this role is remote with occasional travel.** Qualifications Deep knowledge of ... Science or other relevant field of study) and 5 to 7 years of relevant experience or may be ...

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Showing results 21-40

Remote Science information

See SeaTac, WA salary details

$27.3K

$54K

$88.2K

How much do remote science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote science in SeaTac, WA is $54,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $58,000.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in SeaTac, WA?

The most popular types of Science jobs in SeaTac, WA are:

What job categories do people searching Remote Science jobs in SeaTac, WA look for?

The top searched job categories for Remote Science jobs in SeaTac, WA are:

What cities near SeaTac, WA are hiring for Remote Science jobs?

Cities near SeaTac, WA with the most Remote Science job openings:

Infographic showing various Remote Science job openings in SeaTac, WA as of August 2026, with employment types broken down into 4% Internship, 73% Full Time, 21% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,016 per year, or $26 per hour.

Director, Data Science

Liberty Mutual

Seattle, WA • On-site, Remote

$156K - $281K/yr

Full-time

Posted 2 days ago

New


Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

46th of 310 rated insurance


Job description


Description

The Specialty Product Design and Modeling Team is the team behind the science of pricing for Liberty Mutual's Specialty Lines products (Landlord, Umbrella, Condo, Renters, Specialty Vehicles). Using advanced predictive analytics and statistical modeling, we build and refine rating programs that drive profitable growth. But we're more than a modeling team. We shape strategy, decide which variables matter, source the best data, and design rating programs that give Liberty Mutual a genuine competitive edge.

 

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following:

Frontier Program Representation Liberty Mutual is transforming US Retail Markets Personal Lines onto a modern Unified Insurance Platform (UIP), built to simplify how we go to market and respond to customers with greater speed and precision. You will serve as the primary Specialty Data Science representative on this cross-functional effort, translating deep expertise in Specialty rating programs into clear requirements that inform the platform build. This isn't a program management role, it's about ensuring the science of how we price is preserved, correctly implemented, and positioned to evolve on the new platform.

Condo & RV Programs You will own the pricing design and modeling for the Condo and RV programs, ensuring these products deliver best-in-class segmentation and maintain the highest competitiveness in the marketplace.

Research & Analytical Capacity Beyond Frontier, you will advance the science of Specialty pricing, researching new modeling techniques, evaluating novel data sources, and improving segmentation, while contributing to high-impact research and modeling work across the Specialty portfolio. We don't expect every capability on day one, we expect intellectual curiosity, learning agility, and the drive to add value quickly.

People Leadership You will manage, coach, and develop a team of 3–5 data scientists, building a high-performing culture where people grow, collaborate, and do their best work.

What You'll Do

  • Own Specialty's voice on Frontier:  ensure our requirements are heard, documented, and built correctly across a multi-year transformation
  • Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines
  • Own end-to-end pricing design and modeling for Condo and RV programs
  • Connect the dots across Product, Technology, Delivery, and Actuarial teams: keep work moving and surface problems early
  • Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge
  • Contribute to high-impact modeling and analytical work across the Specialty portfolio
  • Tell the story: communicate complex technical work clearly to senior leaders and cross-functional partners
  • Manage, coach, and develop a team of 3–5 data scientists

Ideal Candidate

  • You're energized by complex problems and equally comfortable in model details and executive conversations
  • You don't wait to be told what to do, you figure out what needs to happen and make it happen
  • You thrive in ambiguity and pick up new domains faster than most
  • You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem)
  • You are able to collaborate and achieve alignment across large cross-functional teams
  • You know how to build and sustain a high-performing team culture
  • 6–8 years of relevant insurance experience preferred
  • Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel)
  • Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans)
  • Demonstrated ability to communicate complex information clearly: verbally, visually, and in writing across varied audiences and stakeholder levels
  • Skilled at building relationships and driving alignment across large, cross-functional teams
  • Ability to use data and analysis to influence teams, department heads, and senior leadership
  • Value-driven mindset with strong awareness of business context and impact
  • Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**

Qualifications

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset, to include highly technical tools.
• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.
• Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups.
• Presents to senior or functional department leaders or executives.
• Broad knowledge of business drivers and market context.
• Has a value driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.
• Insurance or financial services industry experience preferred.

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/benefits
Liberty 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

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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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