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Remote Data Scientist Graduate Jobs in Springfield, VA

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 ...

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 ...

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Remote | Falls Church, VA | Arlington, VA | DC Metro Clearance: Active DoD Secret (or ability to ... Implement core data science capabilities, such as entity resolution, classification, clustering, or ...

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Senior Data Scientist PAY RANGE: $150,000 - $200,000 LOCATION: McLean, VA JOB SUMMARY : Are you ... We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ...

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

We are looking for a Data Scientist to join our team to train AI models. You will measure the ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

Responsibilities Using your skills as a Data Scientist , you will organize and interpret data to ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Using your skills as a Data Scientist , you will organize and interpret data to inform U.S ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

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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 May 29, 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 & AI Training Specialist

Remote Data Scientist & AI Training Specialist

DataAnnotation

Washington, DC • On-site, Remote

$60/hr

Full-time

Posted 19 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr