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Remote Python Data Analysis Jobs in Laurel, MD (NOW HIRING)

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics ... Degree in Computer Science. * 3+ years of experience writing production ready code in Python. * 3+ ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Analytical dataset design and feature engineering skills (SQL and python). * Ability to conduct ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Analytical dataset design and feature engineering skills (SQL and python). * Ability to conduct ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Analytical dataset design and feature engineering skills (SQL and python). * Ability to conduct ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

Advent Services

Data Scientist

Washington, DC · Remote

Bachelors degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Masters preferred). Strong proficiency in programming languages such as Python or R.

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How much do remote python data analysis jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote python data analysis in Laurel, MD is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.
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Remote Python Data Analysis jobs near you
Infographic showing various Remote Python Data Analysis job openings in Laurel, MD as of June 2026, with employment types broken down into 6% Internship, 84% Full Time, and 10% Part Time. Highlights an 100% Remote job distribution, with an average salary of $120,892 per year, or $58.1 per hour.
Data Scientist

Data Scientist

Virtualitics, Inc

Washington, DC • On-site, Remote

Full-time

Posted 3 days ago

Job description

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. 

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. 

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here.

 
Data Scientist TS/SCI (DC/NoVA)
 
Virtualitics introduced Intelligent Exploration to the analytics community through the Virtualitics AI Platform. We are seeking a Data Scientist with TS/SCI security clearance with a strong sense of ownership to join our Platform team. This position has career growth opportunities for those seeking to become Lead Data Scientist and/or Team Manager.
 
As a Data Scientist, you will:
  • Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers.
  • Work with customer data and own the development of an AI solution from ideation to production
  • Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.
Requirements:
  • Must have an active TS/SCI security clearance and be willing to work from a SCIF as needed.
  • Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs.
  • Regular travel anticipated to client sites/military bases.
  • Degree in Computer Science.
  • 3+ years of experience writing production ready code in Python.
  • 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc.
  • 1 year of experience deploying a machine learning model in a production environment.
  • 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.).
  • 3 years of experience with Git (or an alternative version control tool).
  • 1 year of Experience with Docker and/or Kubernetes.
  • A strong sense of ownership and accountability.
  • Excellent written and verbal communication skills in English
 
Pluses:
  • Demonstrated experience in leading the development efforts for a project from a SCIF.
  • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.
  • 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka.
  • 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g.
    Flask/Django)
Compensation and Benefits:
  • Competitive salary/equity/bonus based on experience and education.
  • Full benefits including medical, dental, vision.
  • Unlimited paid time off.
 

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.