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Remote Aws Data Scientist Jobs in Reston, VA (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

ManTech

Senior Data Scientist

Arlington, VA · On-site +1

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will ... and AWS * Experience with Natural Language Processing (NLP) and text analytics applied to ...

System One

Mid-Level Data Scientist

Merrifield, VA · Remote

Hybrid - onsite and remote Responsibilities * Collaborate with senior data scientists and leaders ... Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop. * Familiarity ...

New

Econometrica, Inc.

Data Scientist

Bethesda, MD · On-site +1

Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data ... Work Environment This position is remote, though candidates may choose to work in Econometrica ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

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How much do remote aws data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote aws data scientist in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a remote AWS data scientist?

A Remote AWS Data Scientist is a professional who works from a location outside of a traditional office and specializes in analyzing data using Amazon Web Services (AWS) cloud tools. They design and implement data models, build machine learning workflows, and leverage AWS services like SageMaker, Redshift, and Glue to extract insights from large datasets. Their responsibilities often include cleaning and preprocessing data, developing predictive models, and collaborating with other teams to support business goals, all while working remotely.

How does a remote AWS data scientist typically collaborate with cross-functional teams?

As a remote AWS Data Scientist, you will frequently interact with software engineers, data engineers, and business analysts through virtual meetings, shared documentation, and collaborative cloud environments. Most teams use tools like Slack, Jira, and AWS services (such as SageMaker and Redshift) to streamline communication and project management. Regular check-ins and sprint planning sessions help ensure alignment on objectives, while version control platforms like Git facilitate joint development of models and code. Emphasizing clear communication and proactive updates is key to overcoming the challenges of remote, asynchronous work.

What are the key skills and qualifications needed to thrive as a remote AWS data scientist, and why are they important?

To thrive as a Remote AWS Data Scientist, you need strong expertise in data analysis, machine learning, and statistical modeling, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with AWS cloud services (such as S3, Redshift, SageMaker), programming languages like Python or R, and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly valuable. Excellent problem-solving, communication, and self-management skills set standout professionals apart in a remote environment. These abilities enable effective delivery of data-driven insights, successful project execution, and collaboration across distributed teams.

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Remote Aws Data Scientist jobs near you

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Description

About BullFrog AI

BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:

  • bfPREP - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
  • bfLEAP - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
  • bfARENAS - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions


The Role

Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.


BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.


Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.



What You'll Do


Client Engagement & Project Leadership

  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
  • Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery


Technical Delivery

  • Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
  • Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
  • Implement NLP and LLM solutions tailored to life sciences datasets
  • Contribute to the development and refinement of BullFrog's in-house platform capabilities

Requirements

What We're Looking For


Education

Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related


Experience

5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting

Demonstrated proficiency in Python; production-quality code in a research or commercial environment

Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred

Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval

Proven track record of collaborating effectively with remote teams

Must be legally authorized to work in the United States


Desired Skills

Prior experience in multi-modal analysis with deep learning

Causal inference experience - a significant differentiator for this role

NLP/LLM expertise applied to life sciences and healthcare text

Strong foundation in data engineering and databases

Experience with graph-based approaches: feature engineering, ML, and visualization

Cloud platform experience, particularly AWS or Google Cloud


Who Will Thrive Here

Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains

Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders

Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight

Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment

Collaborative by default - remote-first is second nature; you communicate proactively and close loops


What We Offer

Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave. 
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves. 
Advancing medicine through artificial intelligence.

Apply