Remote Senior Data Scientist - Federal Analytics

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

Job summary

Ardent is seeking a Data Scientist to join our team in a fully remote role within the United States. You will apply advanced analytics, statistical modeling, and machine learning to support data-driven initiatives in a federal environment.

Responsibilities include analyzing complex datasets, developing dashboards and reports, collaborating with stakeholders, and ensuring data quality through governance and best practices. Strong Python/R/SQL skills are required.

Qualifications

• Bachelor's degree in a technical field.
• 10+ years in IT, data analytics, or data science environments.
• 4+ years supporting enterprise-scale data initiatives.
• Experience with Python, R, SQL, and data visualization.
• Ability to communicate analytical results to diverse stakeholders.

Responsibilities

• Provide subject matter expertise for data science and analytics initiatives.
• Analyze large datasets to identify trends and insights.
• Recommend analytical methods and models for data-driven solutions.
• Support data preparation, transformation, modeling, and visualization.
• Collaborate with stakeholders to define analytical requirements.
• Develop dashboards, reports, and technical documentation.
• Advise on data quality and analytics best practices.
• Contribute to modernization and continuous improvement of data capabilities.

Skills

Python

R

SQL

Data analysis

Statistical modeling

Communication

Problem-solving

Collaboration

Education

Bachelor's degree in Data Science/CS/Statistics/Mathematics/Engineering/IT

Tools

SQL

Job description

Ardent is seeking a Data Scientist to join our team in a fully remote role within the United States. You will apply advanced analytics, statistical modeling, and machine learning to support data-driven initiatives in a federal environment.

Responsibilities include analyzing complex datasets, developing dashboards and reports, collaborating with stakeholders, and ensuring data quality through governance and best practices. Strong Python/R/SQL skills are required.