Data Scientist/IT Subject Matter Expert

At Ardent, we hire people who want more than a job — they want to serve a mission that matters. Our teams support the federal government’s most critical national security and defense priorities, helping protect the nation, strengthen resilience, and advance the technologies and capabilities that keep America secure. For veterans, cleared professionals, and purpose-driven innovators, Ardent is a place to continue serving alongside a team that understands the importance of the mission and the people behind it.

We also know top talent has choices, which is why we back our mission with benefits and flexibility that stand out: competitive pay, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, professional development support, wellness stipends, and a culture that values and rewards hard work, dedication, and adaptability. If you want to build something meaningful, while enjoying the kind of flexibility and support that you need to do your best work — Ardent is where your next mission begins.

Ardent is seeking an experienced Data Scientist / IT Subject Matter Expert 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.

• →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.