Data Scientist II (Remote)
VA · On-site +1
... mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...
Data Scientist II (Remote)
VA · On-site +1
... mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...
Proactively source candidates via social media channels, websites, database mining, competitive candidate mapping, and community network building. * Coordinate with line management to determine ...
Proactively source candidates via social media channels, websites, database mining, competitive candidate mapping, and community network building. * Coordinate with line management to determine ...
Remote Social Mining information
What are the key skills and qualifications needed to thrive as a remote social mining specialist?
To excel as a Remote Social Mining Specialist, you need strong analytical abilities, data interpretation skills, and familiarity with social media platforms, often supported by a background in marketing, data science, or communications. Proficiency with social listening tools (such as Brandwatch, Sprout Social, or Hootsuite), data analytics software, and sometimes certifications like Google Analytics are typically required. Attention to detail, critical thinking, and effective written communication are vital soft skills for accurately identifying trends and conveying insights. These skills ensure that organizations can monitor brand reputation, track social sentiment, and make informed strategic decisions based on real-time social data.
What are some common challenges faced in a remote social mining role, and how can they be effectively managed?
One common challenge in a Remote Social Mining role is staying up-to-date with rapidly evolving social platforms and data privacy regulations. Additionally, working remotely may make it harder to quickly collaborate with team members or access proprietary data sources. To manage these challenges, it's essential to establish strong communication channels with your team, leverage project management tools, and regularly participate in training to stay current with best practices and platform changes. Proactively engaging in online communities and internal knowledge-sharing sessions can also help keep your skills sharp and ensure compliance.
What is remote social mining?
Remote social mining involves analyzing and extracting valuable insights from social media platforms and online communities, often while working from a remote location. Professionals in this role use specialized software and techniques to track trends, monitor conversations, and gather data on public sentiment or brand reputation. The information collected helps businesses or organizations make informed decisions about marketing, customer engagement, and product development. Remote social miners need strong analytical skills, familiarity with social platforms, and the ability to work independently. The role is increasingly important as more interactions and conversations shift online.
What is the difference between Remote Social Mining vs Remote Social Media Analyst?
| Aspect | Remote Social Mining | Remote Social Media Analyst |
|---|---|---|
| Credentials | Basic knowledge of social data tools, sometimes certifications in data analysis or social media | Degree in marketing, communications, or related field; often certifications in social media platforms or analytics |
| Work Environment | Primarily data analysis, research, and monitoring social platforms remotely | Content creation, engagement analysis, and strategy development, often involving remote collaboration |
| Industry Usage | Used across marketing, research, and brand management sectors | Common in marketing agencies, brands, and media companies |
| Search & Comparison Intent | Focuses on social data collection and insights | Focuses on social media performance and content strategy |
Remote Social Mining involves analyzing social data to gather insights, while Remote Social Media Analysts focus on managing and strategizing social media content. Both roles are remote, require social media knowledge, but differ in their core functions and industry applications.
What cities in Virginia are hiring for Remote Social Mining jobs? Cities in Virginia with the most Remote Social Mining job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 5 days ago
Maximus rating
6.8
Based on 300 frontline employees who took The Breakroom Quiz
289th of 485 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.
Security Clearance Requirement: This position requires an active Secret clearance and U.S. citizenship. Applicants who cannot provide proof of U.S. citizenship will not be considered due to the position's security clearance requirement.
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
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.
Security Clearance Requirement: This position requires an active Secret clearance and U.S. citizenship. Applicants who cannot provide proof of U.S. citizenship will not be considered due to the position's security clearance requirement.
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