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Postdoc Data Science Remote Jobs in Virginia (NOW HIRING)

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

Senior Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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Postdoc Data Science Remote information

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 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 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 cities in Virginia are hiring for Postdoc Data Science Remote jobs? Cities in Virginia with the most Postdoc Data Science Remote job openings:
Infographic showing various Postdoc Data Science Remote job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data science Engineer - Remote

RapidSoft Corp

Reston, VA • Remote

$110K - $149K/yr

Contractor

Re-posted 27 days ago


Job description

Company Description

RapidSoft established in 2003, with a mission of providing clients with experiened and talented resources in timely manner. We specialize in in Independent Verification and Validation, Test Automation and DevOps, Static Code Analysis.

Our Staffing division handles, niche staffing needs for  companies of all sizes by providing technically prescreened resources thus reducing the hiring life cycle. Less  Clutter of Resumes More Hires for clients.

Job Description

Duties and Responsibilities: Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies Work with senior data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling Develop and manage scalable data processing platforms for both exploratory and real-time analytics Oversee and develop algorithms for quick data acquisition, analysis and evolution of the data model to improve search and recommendation engines. Document and demonstrate solutions Design system specifications and provide standards and best practices Support and mentor junior data engineers by providing advice and coaching Make informed decisions quickly and taking ownership of services and applications at scale Be a persistent, creative problem solver, constantly striving to improve and iterate on both processes and technical solutions Remain cool and effective in a crisis Understand business needs and know how to create the tools to manage them Take initiative, own the problem and own the solution Other duties as assigned  Supervisory Responsibilities: None  Minimum Qualifications: Bachelor's Degree in Data Engineering, Computer Science, Information Technology, or a related discipline (or equivalent experience) 8+ years experience in data engineering development 5+ years experience working in object oriented programming languages such as Python or Java Experience working in an Agile environment

Additional Information

All your information will be kept confidential according to EEO guidelines.