Data Scientist

ardentmc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

ArdentMC is seeking a senior data scientist to apply data science and advanced analytics to federal-scale challenges. You will perform statistical modeling, machine learning, and data preparation while communicating findings to technical teams, program stakeholders, and leadership.

This role emphasizes collaboration, governance, and modernization of analytics workflows. You will mentor teams, help define analytical requirements, and deliver reports, dashboards, and documentation in a fully

Qualifications

• Bachelor's degree in a data-focused technical field.
• 10+ years in IT/analytics/data science or similar environment, incl. 4+ years enterprise-scale work.
• Experience with statistical analysis, predictive modeling, ML, or advanced analytics.
• Experience working with large, complex, or disparate datasets.
• Proficiency with Python, R, SQL, or equivalent tools.
• Ability to visualize results and explain findings clearly with stakeholders.
• Willingness to undergo a government background investigation.

Responsibilities

• Provide subject matter expertise for data science, analytics, and machine learning initiatives.
• Analyze complex datasets to identify patterns, trends, and actionable findings.
• Recommend analytical approaches, statistical models, and data-driven solutions for program needs.
• Support data preparation, transformation, modeling, and visualization.
• Work with stakeholders and technical teams to define analytical requirements and deliver reports, dashboards, documentation, and other outputs.
• Advise on data quality and analytical practices, and contribute to modernization efforts involving analytics and automation.

Skills

Statistical analysis

Machine learning

Data visualization

Education

Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, information technology, or a related technical field

Tools

Python

R

SQL

Job description

Role overview

Apply data science and advanced analytics to complex business and operational challenges in a federal environment. The work spans analysis, statistical modeling, machine learning, data preparation, and communication of findings, with collaboration across technical teams, program stakeholders, and leadership.

Responsibilities

• Provide subject matter expertise for data science, analytics, and machine learning initiatives.
• Analyze complex datasets to identify patterns, trends, and actionable findings.
• Recommend analytical approaches, statistical models, and data-driven solutions for program needs.
• Support data preparation, transformation, modeling, and visualization.
• Work with stakeholders and technical teams to define analytical requirements and deliver reports, dashboards, documentation, and other outputs.
• Advise on data quality and analytical practices, and contribute to modernization efforts involving analytics and automation.

Requirements

• Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, information technology, or a related technical field.
• At least 10 years of experience in IT, analytics, data science, or a related technical environment, including four years supporting enterprise-scale initiatives.
• Demonstrated experience with statistical analysis, predictive modeling, machine learning, or other advanced analytical work.
• Experience working with large, complex, or disparate datasets.
• Proficiency with Python, R, SQL, or comparable analysis and programming tools.
• Ability to visualize results, explain complex findings clearly, and collaborate across technical, business, and program teams.
• Willingness to undergo a government background investigation.

Nice to have

• Experience with federal programs, cloud analytics platforms, or operational machine learning deployments.
• Familiarity with AI, natural language processing, data governance, data quality, or enterprise data management.

Benefits and work setup

The position is remote. The source does not specify additional benefits.