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Remote Nvidia Deep Learning Jobs in Virginia (NOW HIRING)

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). * Solid background in software engineering principles and best practices. * Hands-on ...

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local clients as required by project or client needs. * Remote work is not permitted. ASSYST Benefits: We are ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What cities in Virginia are hiring for Remote Nvidia Deep Learning jobs? Cities in Virginia with the most Remote Nvidia Deep Learning job openings:
Infographic showing various Remote Nvidia Deep Learning job openings in Virginia as of August 2026, with employment types broken down into 7% Internship, 79% Full Time, 7% Part Time, and 7% Contract. Highlights an 7% In-person, and 93% Remote job distribution.

Data Scientist (Remote)

Maximus

VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 300 frontline employees who took The Breakroom Quiz

293rd of 488 rated business services


Job description

General information
Job Posting Title
Data Scientist (Remote)
Date
Tuesday, August 4, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is seeking a Data Scientist to support the Preservation of the Force and Family (POTFF) program. This position applies advanced analytics, statistical methods, and data visualization to improve the readiness, performance, resilience, and long-term well-being of Special Operations Forces personnel and their families.
In this role, you will convert complex operational and health data into practical insights that support evidence-based decisions and strengthen POTFF program outcomes. Your work will help advance mission readiness, resilience, and sustained performance across the Special Operations community.
This position is pending upon contract award. It requires active secret clearance at minimum.
Why Maximus?
Flexibility That Fits Your Life - Work/life balance support with flexibility designed to meet your personal and professional needs.
Robust Health & Insurance Benefits - Choose from a variety of Medical, Dental, Vision, and
Prescription plans, plus a partially funded HSA. You'll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.
Build Your Financial Future - Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.
Generous Time Away From Work - Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.
Wellness Beyond the Workplace - Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).
Recognition That Matters - Celebrate achievements and recognize colleagues through our employee recognition platform.
Invest in Your Growth - Continue your education and professional development with Tuition Reimbursement opportunities.
Employee Discounts & Perks - Enjoy exclusive savings, special offers, and additional employee-only benefits.
Wellness Programs & Resources - Explore a variety of programs and tools designed to support your overall health and wellness.
Career Development Opportunities - Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.
Licensure & Certification Support - Maximus covers the costs associated with renewing required licenses and certifications.
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
- Experience working in an agile delivery model a plus.
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
- Ability to communicate complex ideas in a clear, precise, and actionable manner.
- Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
- PowerBI experience a plus.
Job Specific Requirements:
-Bachelor's degree in data science, statistics, mathematics, computer science, or a related field.
-Demonstrated experience using statistical analysis tools, database systems, and data visualization platforms.
-Experience preparing, analyzing, and interpreting complex datasets.
-Ability to communicate technical findings to diverse audiences.
-Security: Requires an active Secret security clearance and U.S. citizenship.
-Survey Design & Analysis: Assist in designing surveys, collecting, and analyzing survey data to inform program improvements Collaboration: Work with cross-functional teams, including biostatisticians, to develop data-driven recommendations for SOF and family support initiatives.
-Technical Solutions: Develop and refine analytical methods and tools to address complex operational and health-related challenges.
-Experience supporting government, defense, military health, or human performance programs.
-Experience developing automated dashboards, predictive models, or decision-support tools.
-Knowledge of data governance, privacy, security, and quality-control practices.
-Familiarity with multidisciplinary health, performance, or readiness data.
-Skills: Proficiency in data analysis tools, statistical software, database systems, and visualization platforms.
-Experience: Experience with government or defense-related data projects is preferred.
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
90,400.00
Maximum Salary
$
129,400.00

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