Job Requirements
Remote
Clearance Unspecified Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Data Scientist – Models & Analysis | Fully Remote
Company: IVERTIX INC
Location: Remote within the United States; Washington, DC metro area preferred
Employment Type: Full-time, funded contract position
Schedule: 8:00 AM–5:00 PM Eastern Time
Clearance: No existing security clearance required. Client Public Trust/suitability approval required before starting.
About the Opportunity
IVERTIX is seeking a hands-on Data Scientist to support a federal government program through statistical analysis, predictive modeling, and data visualization.
You will work directly with clients to turn business questions into practical analytical solutions. The role emphasizes custom quantitative analysis, Python-based predictive models, and clear reporting using commercial analytical tools. Strong candidates can explain their methods, validate their results, and translate findings into useful recommendations.
Key Responsibilities
• Partner with clients to understand business needs, define analytical questions, and develop data-driven solutions.
• Gather, cleanse, combine, and prepare large datasets from multiple sources.
• Develop analytical and predictive models using Python.
• Apply statistical methods and machine learning techniques to identify patterns, evaluate trends, and support decisions.
• Conduct ad-hoc quantitative analyses and communicate actionable findings.
• Evaluate model performance and explain methods, assumptions, results, and limitations.
• Develop dashboards, visualizations, and analytical reports that make complex information easy to understand.
• Present findings to technical and nontechnical stakeholders.
• Work independently and collaborate with clients, analysts, and technical teams.
Required Qualifications
• Bachelor’s degree (BS/BA) AND at least three years of relevant professional experience. Both requirements are mandatory, with no exceptions.
• Hands-on experience developing analytical and predictive models using Python.
• Strong statistical, quantitative, analytical, and problem-solving skills.
• Experience gathering, cleaning, preparing, and analyzing data from multiple sources.
• Knowledge of machine learning models, methods, and the machine learning lifecycle.
• Experience working with large datasets and performing quantitative analyses.
• Experience developing dashboards, visualizations, and analytical reports.
• Strong written and verbal communication skills, including the ability to explain complex analyses to diverse audiences.
• Ability to work independently and collaborate effectively with clients and technical teams.
Preferred Qualifications
• Five or more years of directly related data science or analytical modeling experience.
• Hands-on Microsoft Power BI dashboard and visualization development.
• Residence in the Washington, DC metropolitan area.
Work Arrangement and Onboarding
This position is fully remote within the United States, with working hours aligned to Eastern Time.
The work is unclassified. An existing security clearance is not required. Before beginning work, the selected candidate must successfully obtain client-provided Public Trust/suitability approval and receive a government-issued laptop. Expected onboarding is approximately three to four weeks.
Company: IVERTIX INC
Location: Remote within the United States; Washington, DC metro area preferred
Employment Type: Full-time, funded contract position
Schedule: 8:00 AM–5:00 PM Eastern Time
Clearance: No existing security clearance required. Client Public Trust/suitability approval required before starting.
About the Opportunity
IVERTIX is seeking a hands-on Data Scientist to support a federal government program through statistical analysis, predictive modeling, and data visualization.
You will work directly with clients to turn business questions into practical analytical solutions. The role emphasizes custom quantitative analysis, Python-based predictive models, and clear reporting using commercial analytical tools. Strong candidates can explain their methods, validate their results, and translate findings into useful recommendations.
Key Responsibilities
• Partner with clients to understand business needs, define analytical questions, and develop data-driven solutions.
• Gather, cleanse, combine, and prepare large datasets from multiple sources.
• Develop analytical and predictive models using Python.
• Apply statistical methods and machine learning techniques to identify patterns, evaluate trends, and support decisions.
• Conduct ad-hoc quantitative analyses and communicate actionable findings.
• Evaluate model performance and explain methods, assumptions, results, and limitations.
• Develop dashboards, visualizations, and analytical reports that make complex information easy to understand.
• Present findings to technical and nontechnical stakeholders.
• Work independently and collaborate with clients, analysts, and technical teams.
Required Qualifications
• Bachelor’s degree (BS/BA) AND at least three years of relevant professional experience. Both requirements are mandatory, with no exceptions.
• Hands-on experience developing analytical and predictive models using Python.
• Strong statistical, quantitative, analytical, and problem-solving skills.
• Experience gathering, cleaning, preparing, and analyzing data from multiple sources.
• Knowledge of machine learning models, methods, and the machine learning lifecycle.
• Experience working with large datasets and performing quantitative analyses.
• Experience developing dashboards, visualizations, and analytical reports.
• Strong written and verbal communication skills, including the ability to explain complex analyses to diverse audiences.
• Ability to work independently and collaborate effectively with clients and technical teams.
Preferred Qualifications
• Five or more years of directly related data science or analytical modeling experience.
• Hands-on Microsoft Power BI dashboard and visualization development.
• Residence in the Washington, DC metropolitan area.
Work Arrangement and Onboarding
This position is fully remote within the United States, with working hours aligned to Eastern Time.
The work is unclassified. An existing security clearance is not required. Before beginning work, the selected candidate must successfully obtain client-provided Public Trust/suitability approval and receive a government-issued laptop. Expected onboarding is approximately three to four weeks.
group id: 90769400