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Data Scientist

Pay
Pay not listed
Work setting
Remote — work setting source
Ardent is seeking a Data Scientist to join our team. This is a remote position. Position Description:
Listed location: Remote
Read the full posting
Employment
Not stated

What you’ll work on

Full posting
  • Provide subject matter expertise on data science, analytics, and machine learning

  • Analyze complex datasets to find trends, patterns, and insights

  • Recommend analytical methods, statistical models, and data-driven solutions

  • Support data preparation, modeling, and visualization work

  • Build dashboards, reports, and technical documentation

From the employer’s posting
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.
Support development of dashboards, reports, technical documentation, and analytical deliverables.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field.
  • 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.
  • Ability to collaborate effectively across technical, business, and program teams in a federal environment.

Preferred experience

  • 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.
Qualification wording
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field.
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.
Ability to collaborate effectively across technical, business, and program teams in a federal environment.
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.
Education & alternatives
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.
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Posting record

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Open 5 monthsWe first saw this posting 167 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 21, 2026167 days ago
Recorded sightings
23
Last seen by us
Nov 4, 2026

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How this job compares

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Day 167

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Where the posting names them
- 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.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Ardent is seeking a Data Scientist to join our team.  

This is a remote 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.

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Location & working pattern

Remote

Ardent is seeking a Data Scientist to join our team. This is a remote position. Position Description:
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