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Postdoc Data Science Remote Jobs (NOW HIRING)

Role Overview Leading AI lab to engage independent Data Science Experts for diverse research and ... This is a fully remote role that can be completed on your own schedule. Projects can be extended ...

Our full‐stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship. #J-18808-Ljbffr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

Role Summary We are seeking a Contract Data Scientist (Remote) specialized in Microsoft Azure's AI ecosystem. This is a hands-on role focused on implementing RAG/search pipelines with Azure Cognitive ...

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional travel to the client location is required. * Candidates might need to overlap with offshore on need ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

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Postdoc Data Science Remote information

See salary details

$57.5K

$68K

$129K

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

As of Jun 4, 2026, the average yearly pay for postdoc data science remote in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoc Data Science Remote, and why are they important?

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 is a Postdoc Data Science Remote position?

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 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.

More about Postdoc Data Science Remote jobs
What cities are hiring for Postdoc Data Science Remote jobs? Cities with the most Postdoc Data Science Remote job openings:
What states have the most Postdoc Data Science Remote jobs? States with the most job openings for Postdoc Data Science Remote jobs include:
Infographic showing various Postdoc Data Science Remote job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Data Scientist - Remote

YO IT Consulting

Boston, MA • Remote

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Role Overview Leading AI lab to engage independent Data Science Experts for diverse research and development initiatives. These contractors will support data‐driven model improvement, performance evaluation, and applied experimentation. Key Responsibilities Analyze large datasets to extract insights that inform model design and refinement.

Develop and apply statistical models, machine learning techniques, and evaluation frameworks. Conduct performance assessments and data quality reviews on AI model outputs. Build reusable tools for data processing, visualization, and reporting.

Partner with research teams to test hypotheses and scale experimental workflows. Ideal Qualifications 3+ years of experience in data science, machine learning, or a related analytical field. Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).

Familiarity with large-scale data environments and version-controlled workflows. Strong command of statistical analysis, experimental design, and model validation. Clear written communication and comfort collaborating across technical teams.

More About The Opportunity Expected commitment: 10+ hours/week. Exposure to high-impact AI research and applied experimentation. Contract and Payment Terms You will be engaged as an independent contractor.

This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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