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Remote Data Aggregation Jobs in Virginia (NOW HIRING)

General information Job Posting Title Senior Data Scientist (Remote) Date Friday, July 17, 2026 ... from basic data aggregation and statistical analysis to advanced data mining and pattern ...

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Build software solutions focusing on data aggregation that are scalable, repeatable, and rapidly ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

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Remote Data Aggregation information

What is remote data aggregation?

Remote data aggregation is the process of collecting, compiling, and organizing data from various sources without being physically present at a central location. Professionals in this field use digital tools and software to access, extract, and consolidate information from databases, websites, or third-party platforms. This role is essential for businesses that rely on real-time or large-scale data from multiple sources, as it enables efficient analysis and reporting. Remote data aggregation is commonly utilized in industries such as market research, finance, and e-commerce, where timely and accurate data is crucial for decision-making.

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

To thrive as a Remote Data Aggregation Specialist, you need strong analytical skills, attention to detail, and proficiency in data management, often supported by a degree in information technology, statistics, or a related field. Familiarity with data aggregation tools, database systems (such as SQL), and spreadsheet software like Excel is typically required. Excellent organizational skills, self-motivation, and effective communication are important soft skills for collaborating remotely and ensuring accurate results. These skills and qualities are essential for efficiently collecting, organizing, and delivering high-quality data that supports business decision-making.

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

Remote data aggregation professionals often encounter challenges such as inconsistent data sources, varying data formats, and communication barriers with distributed teams. These can be addressed by using robust data integration tools, establishing clear data validation protocols, and maintaining regular communication channels with colleagues and stakeholders. Staying adaptable and proactive in troubleshooting helps ensure data accuracy and timely project delivery. Additionally, ongoing training in new aggregation tools and methods can further streamline workflows.

What is the difference between Remote Data Aggregation vs Remote Data Analyst?

AspectRemote Data AggregationRemote Data Analyst
Required CredentialsBasic data handling skills, familiarity with data toolsBachelor's in Data Science, Statistics, or related field; often requires certifications
Work EnvironmentPrimarily technical, focused on data collection and processingAnalytical, interpretative, and reporting-focused
Employer & Industry UsageUsed across industries for consolidating data sourcesCommon in finance, marketing, healthcare for insights
Search & Comparison IntentUnderstanding data collection rolesAnalyzing data to inform decisions

Remote Data Aggregation involves collecting and consolidating data from various sources, focusing on data collection and management. Remote Data Analysts interpret and analyze data to generate insights, often requiring more specialized education and analytical skills. Both roles are essential in data-driven industries but serve different functions within the data lifecycle.

What are the most commonly searched types of Data Aggregation jobs in Virginia?

The most popular types of Data Aggregation jobs in Virginia are:

What job categories do people searching Remote Data Aggregation jobs in Virginia look for?

The top searched job categories for Remote Data Aggregation jobs in Virginia are:

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

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

Infographic showing various Remote Data Aggregation job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Scientist (Remote)

VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 302 frontline employees who took The Breakroom Quiz

303rd of 500 rated business services


Job description

General information
Job Posting Title
Senior Data Scientist (Remote)
Date
Friday, July 17, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
This position is pending upon contract award. 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.
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.
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:
- 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.
- 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.
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.
- 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.
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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