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Remote Data Evaluation Jobs in Virginia (NOW HIRING)

This is a remote position preferably in Tampa, FL. This position is pending upon award. Essential ... and evaluation of POTFF program effectiveness - Integrate data from HP Enterprise systems (e.g ...

ML Data Engineer

Herndon, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Build evaluation dataset construction pipelines with strict integrity and contamination controls.

ML Data Engineer

Ashburn, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Familiarity with data quality tooling and dataset evaluation methodology. * Exposure to privacy ...

New

... 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 ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... analysis, evaluation, infrastructure, efficiency, migration, and overarching strategy.

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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 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 are the key skills and qualifications needed to thrive as a Remote Data Evaluation Specialist, and why are they important?

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 job categories do people searching Remote Data Evaluation jobs in Virginia look for? The top searched job categories for Remote Data Evaluation jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Evaluation jobs? Cities in Virginia with the most Remote Data Evaluation job openings:

Senior Data Scientist

Maximus

VA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 300 frontline employees who took The Breakroom Quiz

292nd of 488 rated business services


Job description

General information
Job Posting Title
Senior Data Scientist
Date
Friday, July 17, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
This position requires active secret clearance.
The Senior Data Scientist will support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long-term well-being of SOF warriors and their families. The Senior Data Scientist will support all POTFF domains, providing consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives.
This is a remote position preferably in Tampa, FL. This position is pending upon award.
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks. Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
-Collect, analyze, and interpret human performance data across domains
- Develop dashboards, predictive models, and reporting tools to inform leadership decisions
- Support research initiatives and evaluation of POTFF program effectiveness
- Integrate data from HP Enterprise systems (e.g., SPEAR / HPDMS)
- Identify trends in readiness, injury, and performance outcomes
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits. Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly with business users and requirements documentation
- Experience with solution/vendor evaluation and evaluating product ROI
- Experience with government sponsored health care programs and operations desirable.
- Master's or PHd in Data Science, Biostatistics, or related field
-Experience with statistical tools and data visualization
Preferred Qualifications:
-Experience supporting POTFF, DoD, or healthcare analytics strongly desired
- Prior military service strongly desired
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
$
153,000.00
Maximum Salary
$
182,000.00

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