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Remote Data Evaluation Jobs in Virginia (NOW HIRING)

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... evaluation, research methodologies, and data analysis. -Use statistical modeling and data ...

Remote Work: Hybrid Job Number: R0247289 Location: Arlington,VA,US Share job via: Share Data ... evaluation, and analysis of large data sets. * Establish quantitative/qualitative metrics and key ...

... evaluation, and delivery. Our delivery teams follow SAFe Agile practices, embrace the Ops ethos ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience evaluating data analytic or science technologies and platforms * Experience going ...

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Remote Data Evaluation information

What is remote data evaluation?

Remote data evaluation is a job where individuals assess, analyze, and interpret data from a location outside of a traditional office setting, often from home. These professionals review various types of data, such as text, images, audio, or user behavior, to ensure quality, accuracy, or to support machine learning models. The work often involves following specific guidelines to categorize or rate data and may be used to improve search engines, AI systems, or digital products. Remote data evaluators typically need strong attention to detail, reliable internet access, and basic technical skills.

What are the key skills and qualifications needed to thrive as a remote data evaluation specialist?

To thrive as a Remote Data Evaluation Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data science, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, Python, or specialized evaluation platforms is typically required. Excellent communication, self-motivation, and time management help you effectively collaborate and meet deadlines while working independently. These skills ensure accurate data interpretation, reliable insights, and efficient remote workflow, which are crucial for organizational decision-making.

What are some common challenges faced by professionals in remote data evaluation roles, and how can they be managed?

One of the main challenges in remote data evaluation is maintaining effective communication with team members and stakeholders, especially when working across different time zones. Additionally, ensuring data security and accuracy without in-person oversight can require extra diligence. Professionals can address these challenges by using collaboration tools, establishing clear protocols, and regularly syncing with their teams to align on project goals and data quality standards. Staying organized and proactively seeking feedback can also help remote data evaluators succeed in a distributed work environment.

What is the difference between Remote Data Evaluation vs Remote Data Entry?

AspectRemote Data EvaluationRemote Data Entry
Primary RoleAnalyzing and assessing data for accuracy and insightsInputting and updating data into systems
Skills RequiredAnalytical skills, attention to detail, data interpretationTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, software-based tasksData input platforms, spreadsheets, databases
Common CertificationsData analysis, quality assuranceBasic computer proficiency, data entry certifications

Remote Data Evaluation involves analyzing data for quality and insights, requiring analytical skills. In contrast, Remote Data Entry focuses on inputting data accurately into systems. Both roles are remote, but they differ in skill requirements and daily tasks, making them distinct career options within the data industry.

What cities in Virginia are hiring for Remote Data Evaluation jobs?

Cities in Virginia with the most Remote Data Evaluation job openings:

Data Scientist II (Remote)

Maximus

VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

296th of 495 rated business services


Job description

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 supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program by identifying and implementing innovative, high-value solutions across the Special Operations Forces (SOF) enterprise. This role applies advanced analytics and research methods to help improve the short- and long-term well-being of SOF service members and their families.
U.S. citizenship is required. Candidates must possess an active U.S. Government Secret security clearance or be eligible to obtain and maintain a Secret security clearance as required for contract performance. This position is pending upon contract award.
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.
Essential Duties and Responsibilities
-Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis.
-Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making.
-Enter, maintain, and analyze data within government systems.
-Develop and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data.
-Assist POTFF staff with survey design and create, analyze, and report survey results.
-Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives.
-Collaborate with POTFF program staff and the Government's POTFF biostatistician.
-Provide subject matter expertise in program evaluation, research methodologies, and data analysis.
-Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings.
Minimum Requirements:
-Master's degree in quantitative science, social science, or a related discipline.
-Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting.
-Advanced proficiency with Microsoft Office applications, including Word, Excel, and Access.
-Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, SAS, Python, and R Shiny.
-Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted.
-Demonstrated record of scientific publications.
-Ability to read, write, and speak English fluently and clearly to communicate effectively with all personnel.
-Excellent verbal, written, interpersonal, and presentation skills, with strong attention to detail.
-Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working constructively with individuals from diverse backgrounds.
Active Secret clearance and U.S. citizenship.
This position is pending upon contract award. It requires active secret clearance at minimum.
Minimum Requirements
- B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 5+ 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).
- 5+ 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).
- 5+ years programming skill in Python, Scala, 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.
Preferred Skills:
-Doctoral degree in quantitative science, social science, or a related discipline.
-Certification or documented experience in human performance.
-Experience supporting Special Operations, athletics or sports programs, or other military environments.
-Strong technical and analytical capabilities in data visualization tools such as Power BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development.
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
$
115,175.00
Maximum Salary
$
159,125.00

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