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Remote Machine Learning Quant Jobs in Reston, VA

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ... quantitative field experience * Active Secret security clearance * Active CompTIA Security ...

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... quantitative research in optimizing human decisions using technologies like machine learning and/or ...

Use your analytics and machine learning expertise to research and recommend the best analytic ... quantitative discipline (statistics, economics, mathematics, computer science, electrical ...

Use your analytics and machine learning expertise to research and recommend the best analytic ... quantitative discipline (statistics, economics, mathematics, computer science, electrical ...

Software Engineering, Data Engineering, or Machine Learning. In this role, you will: * Collaborate ... Strong academic background and quantitative foundation demonstrated through applied coursework ...

Software Engineering, Data Engineering, or Machine Learning. In this role, you will: * Collaborate ... Strong academic background and quantitative foundation demonstrated through applied coursework ...

Hybrid - onsite and remote Responsibilities * Collaborate with senior data scientists and leaders ... Utilize traditional and machine learning techniques and tools to build a variety of models ...

New

The core of the work is applying machine learning, statistical analysis, and data mining techniques ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Showing results 41-60

Remote Machine Learning Quant information

See Reston, VA salary details

$11.4K

$134.9K

$206K

How much do remote machine learning quant jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote machine learning quant in Reston, VA is $134,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $144,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Reston, VA?

For Remote Machine Learning Quant jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Reston, VA look for?

The top searched job categories for Remote Machine Learning Quant jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Machine Learning Quant jobs?

Cities near Reston, VA with the most Remote Machine Learning Quant job openings:

Azure Data Architect

Sparibis

Washington, DC • On-site, Remote

$72.25 - $92.75/hr

Full-time

Posted 26 days ago


Job description

Location: 100% Remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment.
Years' Experience: 10+ Years of professional experience.
Education: Bachelor's degree in computer science, Data Science, Statistics, or related field.
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Certifications:
  • Active CompTIA Security+ Certification

Key Skills:
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Must have strong expertise in the Azure Cloud environment
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling

Responsibilities
  • Data Science Strategy: Develop and implement a data science strategy for the project, aligning with strategic goals and objectives.
  • Problem Identification: Work with stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
  • Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
  • Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
  • Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
  • Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
  • Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
  • Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
  • Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
  • Compliance: Ensure that all data science activities comply with relevant and DoD regulations and security policies.
  • Research & Development: Stay up to date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
  • Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Qualifications
  • 10+ years of experience in data science, machine learning, and statistical modeling.
  • Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
  • Active Secret security clearance
  • Active CompTIA Security+ certification
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Proficiency in programming languages such as Python, R, SQL, PySpark
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Experience with data visualization tools (e.g., Power BI).
  • Hands on experience with Microsoft Dataverse for data storage and management.
  • Strong experience with data extraction, cleaning, and transformation (ETL) processes.
  • Experience in data governance, metadata management, and data cataloging.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Strong understanding of database technologies and SQL.
  • Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
  • Excellent communication, presentation, and leadership skills.

About Sparibis
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.