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Postdoc Data Science Remote Jobs in Seattle, WA (NOW HIRING)

Lightcast

Future Opportunities - Remote US

Home, WA · Remote

Product & Engineering (software engineering, platform, QA, DevOps) * Data Science & Analytics (economists, data scientists, research analysts) * Corporate Functions (HR, Finance, Legal, Marketing ...

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 ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

iSpot

Principal Software Development Engineer

Bellevue, WA · On-site +1

$163K - $212K/yr

You will collaborate closely with engineering, data science, product, and leadership teams to ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

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All JobsPostdoc Data Science JobsPostdoc Data Science Remote JobsPostdoc Data Science Remote Jobs in Seattle, WA

Postdoc Data Science Remote information

See Seattle, WA salary details

$65.4K

$77.4K

$146.8K

How much do postdoc data science remote jobs pay per year?

As of Aug 10, 2026, the average yearly pay for postdoc data science remote in Seattle, WA is $77,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $67,700.00 per year, depending on experience, location, and employer.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.
What are popular job titles related to Postdoc Data Science Remote jobs in Seattle, WA? For Postdoc Data Science Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Seattle, WA look for? The top searched job categories for Postdoc Data Science Remote jobs in Seattle, WA are:
Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,430 per year, or $37.2 per hour.

Future Opportunities - Remote US

Lightcast

Home, WA • Remote

Full-time

Re-posted 29 days ago

Job description

Areas We Regularly Hire In:
  • Sales & Client Success
  • Product & Engineering (software engineering, platform, QA, DevOps)
  • Data Science & Analytics (economists, data scientists, research analysts)
  • Corporate Functions (HR, Finance, Legal, Marketing & Operations)
  • Leadership & Strategic Roles
What to Expect:
  • Our Talent Acquisition team reviews submissions on an ongoing basis
  • If your background aligns with a future opportunity, we’ll reach out directly
  • While we’re not able to respond to every submission, your information will remain in our talent network for consideration as new roles open
 
We’re excited to meet professionals who are driven by impact, innovation, and meaningful work — and we look forward to connecting when the right opportunity arises.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.