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Postdoc Data Science Remote Jobs in Washington, DC

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

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 ...

System One

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

... REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data science, machine ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

Analytica

Data Scientist

Bethesda, MD · On-site +1

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Minimum Requirements * Bachelor's degree in Data Science, Statistics, Applied Mathematics ...

@Orchard

Data Analysts & Data Scientists

Washington, DC · Remote

Data Analysts/Data Scientists Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen able to obtain Secret Clearance. @Orchard LLC is anticipating a need for several Data ...

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All JobsPostdoc Data Science JobsPostdoc Data Science Remote JobsPostdoc Data Science Remote Jobs in Washington, DC

Postdoc Data Science Remote information

See Washington, DC salary details

$65.1K

$77.1K

$146.1K

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

As of Jun 13, 2026, the average yearly pay for postdoc data science remote in Washington, DC is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 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 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 are popular job titles related to Postdoc Data Science Remote jobs in Washington, DC? For Postdoc Data Science Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Washington, DC look for? The top searched job categories for Postdoc Data Science Remote jobs in Washington, DC are:
Postdoc Data Science Remote jobs near you
Sr Data Scientist with Security Clearance

Sr Data Scientist with Security Clearance

System One Holdings, LLC

Washington, DC • Remote

$68.66/hr

Other

Posted 11 days ago

Job description

Sr Data Scientist
Type: Contract
Compensation: $68.66
Remote – offsite
Security Clearance: PUBLIC TRUST (Must be a US Citizen) Overview
Sr. Data Scientist | Remote | $68.66/hr | Public Trust Required Join a high-impact team leveraging advanced data science, AI/ML, and cloud technologies to solve complex research challenges. This role is ideal for an experienced Data Scientist with strong Python, SQL, machine learning, and statistical modeling expertise who enjoys turning large, complex datasets into actionable insights. You'll work closely with stakeholders, build scalable analytics solutions, and help drive data-informed decision-making in a fully remote environment. Remote
$68.66/hr
Public Trust Required (US Citizens Only)
Azure, Databricks & LLM Experience Preferred
Master's Required | PhD Preferred
PDS Certification Required Responsibilities
Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution
Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets
Build transparent, reproducible pipelines and analysis environments in cloud infrastructures
Produce exhibits and memos explaining methods, limitations, and uncertainty
Apply advanced statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science
Create compelling data visualizations and reports for both technical and non-technical stakeholders
Support econometric/causal inference workstreams, translating questions into testable hypotheses and clear findings
Design and execute rigorous studies including difference-in-differences, panel models, instrumental variables, time series, etc.
Mentor teammates on best practices in data science
Stay updated on academic research and industry advancements in data science, AI, and information systems Requirements
Master’s degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience
Proficiency in Python or R, and statistical tools such as Stata, SAS, with strong SQL skills
Expertise with ML algorithms including model selection, evaluation, and feature engineering
Experience applying AI and machine learning to structured and unstructured data for insights and performance optimization
Proficiency with data visualization tools such as Tableau, Matplotlib
Experience processing large datasets and deploying LLMs in cloud platforms (e.g., Azure ADLS/Databricks/Azure ML)
Knowledge of LLMs (e.g., Claude Code, ChatGPT), including tradeoffs in capabilities, cost, and performance
Strong problem-solving skills and critical thinking for complex research challenges
Exceptional communication skills, emphasizing rigor, clarity, and defensibility in analyses
Familiarity with FISMA/NIST/Zero Trust frameworks
Current Principal Data Scientist (PDS) Certification

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