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Remote Data Scientist Graduate Jobs in Springfield, VA

Econometrica

Data Scientist

Bethesda, MD · On-site +1

Job Title Data Scientist Job Type Full-time Location Bethesda Office - Bethesda, MD 20814 US (Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a research and ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City Remote Country United States Working time Full-time Description & Requirements The Data Scientist II ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247406 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches ...

SAIC

Data Scientist Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Data Scientist Principal to deliver Systems Engineering Technical Advisor (SETA) supporting a program based in Chantilly, VA.

Booz Allen Hamilton, Inc.

Data Scientist, Junior

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0248402 Location: McLean,VA,US Share job via: Share Data Scientist, Junior The Opportunity: Are you excited at the prospect of unlocking the secrets held by a data ...

SAIC

Data Scientist Associate

Upper Marlboro, MD · On-site +1

$80K - $120K/yr

Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a Data Scientist Associate with a strong background in statistical data analysis using modern analytic tools and ...

New

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247640 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

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 support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247936 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

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Showing results 41-60

All JobsData Scientist Graduate JobsRemote Data Scientist Graduate JobsRemote Data Scientist Graduate Jobs in Springfield, VA

Remote Data Scientist Graduate information

See Springfield, VA salary details

$39.2K

$128.2K

$205.3K

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

As of Sep 6, 2026, the average yearly pay for remote data scientist graduate in Springfield, VA is $128,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Scientist Graduate vs Remote Data Analyst Graduate?

AspectRemote Data Scientist GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, data cleaning, basic analysis, business insights
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, consulting firms

The main difference between a Remote Data Scientist Graduate and a Remote Data Analyst Graduate lies in the complexity of tasks and required skills. Data Scientists typically handle advanced modeling and machine learning, requiring stronger programming and statistical expertise. Data Analysts focus on data cleaning, reporting, and basic analysis. Both roles are in high demand across various industries, but Data Scientists often work on more complex projects and require more specialized credentials.

What are popular job titles related to Remote Data Scientist Graduate jobs in Springfield, VA?

For Remote Data Scientist Graduate jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Graduate jobs in Springfield, VA look for?

The top searched job categories for Remote Data Scientist Graduate jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Remote Data Scientist Graduate jobs?

Cities near Springfield, VA with the most Remote Data Scientist Graduate job openings:

Remote Data Scientist Graduate jobs near you
Infographic showing various Remote Data Scientist Graduate job openings in Springfield, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,203 per year, or $61.6 per hour.

Data Scientist

Econometrica

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Job Title
Data Scientist
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking an experienced Data Scientist to support advanced data analytics services for various Federal agencies. The selected candidate will work alongside a multidisciplinary team of data scientists, data engineers, and stakeholders to design, implement, and maintain fraud identification methods and communicate results to technical and non-technical stakeholders.
Tasks may include the following:
  • Designing, implementing, and maintaining advanced AI systems and predictive models to identify financial fraud, improper payments, or non-compliance.
  • Developing and testing regression, classification, Bayesian, clustering, and ensemble models to identify anomalies, patterns, and predictive variables within large, complex datasets.
  • Performing data quality analysis on source tables to identify abnormalities or inconsistencies and developing repeatable processes for efficiently combining and analyzing large, structured and unstructured data sources.
  • Collaborating closely with criminal investigators to determine and execute analytical strategies supporting fraud investigations, while adhering to federal rules of criminal procedure governing protected information.
  • Integrating and scaling natural language processing (NLP) techniques-including OCR, semantic similarity algorithms, and large language models-to parse, clean, and analyze large corpora of unstructured or semi-structured text.
  • Manipulating and preparing data using Python and Pandas, including aggregating, merging, partitioning, and reshaping datasets in preparation for machine learning workflows.
  • Developing visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models, and iteratively incorporating end-user feedback.
  • Documenting methodology, test models, and production models in compliance with evidentiary and recordkeeping requirements and preparing plain-language reports and executive summaries for both technical and non-technical audiences.
  • Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data Engineering team to ensure system architecture efficiently supports deployed machine learning models.
  • Creating programming and automation techniques (e.g., using Python, SQL, Power BI, Power Apps, and SharePoint) to improve analytic efficiency and expand the scope of analysis and reporting.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised methods.
  • Five (5) or more years of hands-on experience developing analytic rules and models using leading-edge analytic tools and best practices.
  • Five (5) or more years of hands-on experience developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • Three (3) or more years of hands-on experience providing data support for criminal investigations into financial fraud or abuse of government funds.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (3) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
  • Two (2) or more years of hands-on experience developing and scaling NLP solutions.
  • Two (2) or more years of hands-on experience presenting methods and findings to both technical and non-technical stakeholders, orally and in written products and visualizations.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Strong oral and written communication skills.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • Experience integrating large language models (LLMs) and generative AI tools into analytics workflows.
  • Experience developing production-grade machine-learning workflows, including model validation, calibration, monitoring, versioning, retraining, and documentation.
  • Experience with Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage.
  • Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure preferred).
  • Experience creating Power BI dashboards, visualizations, network graphs, interactive maps, or other forms of analytical storytelling.
  • Experience working on projects in a consulting environment, particularly supporting audits, investigations, or federal law enforcement.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, machine learning, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet to moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

Apply