Data Scientist

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.

This is aremote position.

Position Description:

Ardent is seeking an experienced Data Scientist to support data-driven initiatives within a federal environment. This role will focus on applying advanced analytics, statistical modeling, and data science techniques to complex business and operational challenges.

Responsibilities and Duties:

• Provide subject matter expertise supporting data science, analytics, and machine learning initiatives.
• Support analysis of complex datasets to identify trends, patterns, and actionable insights.
• Provide recommendations regarding analytical methods, statistical models, and data-driven solutions.
• Support data preparation, transformation, modeling, and visualization activities.
• Collaborate with stakeholders, technical teams, and leadership to define analytical requirements and support program objectives.
• Support development of dashboards, reports, technical documentation, and analytical deliverables.
• Provide guidance on data quality, analytical methodologies, and data science best practices.
• Contribute to modernization and continuous improvement efforts involving data, analytics, automation, and emerging technologies.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field.
• Minimum of 10 years of experience in Information Technology, data analytics, data science, or related technical environments.
• Minimum of 4 years of experience supporting enterprise-scale data, analytics, or technology initiatives.
• Demonstrated experience performing statistical analysis, predictive modeling, machine learning, or other advanced analytical work.
• Experience working with large, complex, and/or disparate datasets.
• Proficiency with data analysis and programming tools such as Python, R, SQL, or similar technologies.
• Experience with data visualization and communicating analytical findings to technical and non-technical stakeholders.
• Strong analytical, quantitative, and problem-solving skills.
• Strong written and verbal communication skills, including the ability to explain complex analytical concepts clearly.
• Ability to collaborate effectively across technical, business, and program teams in a federal environment.

Preferred Qualifications:

• Experience supporting federal government programs or mission environments.
• Experience with cloud-based data platforms and analytical environments.
• Experience developing or implementing machine learning models in operational or production environments.
• Familiarity with AI, machine learning, natural language processing, or other advanced analytics techniques.
• Experience with data governance, data quality, or enterprise data management practices.

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.

Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.