ArdentMC Logo

ArdentMC

Data Scientist

Posted 4 Days Ago
Remote
Hiring Remotely in USA
Expert/Leader
Remote
Hiring Remotely in USA
Expert/Leader
Experienced Data Scientist supporting federal data-driven initiatives through statistical analysis, predictive modeling, machine learning, data preparation, visualization, dashboards, and actionable insights. The role collaborates with technical, business, and program stakeholders, advises on analytical methodologies, improves data quality, and contributes to modernization, automation, and emerging technology efforts.
The summary above was generated by AI

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.

Similar Jobs

5 Days Ago
In-Office or Remote
New York, NY, USA
212K-265K Annually
Expert/Leader
212K-265K Annually
Expert/Leader
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead data science for SEO and AEO-driven patient growth. Develop measurement and experimentation strategies, combine internal and external data sources, evaluate causal impact, answer product and business questions, and automate analysis using AI agents and workflows. Partner with product, marketing, engineering, content, and design to improve organic search and AI visibility. Establish measurement standards and communicate insights, limitations, and recommendations to executives and cross-functional teams.
Top Skills: AhrefsAi AgentsAPIsClaude CodeCodexDbtGoogle Search ConsolePythonSQL
8 Days Ago
Easy Apply
Remote
United States
Easy Apply
86K-176K Annually
Mid level
86K-176K Annually
Mid level
Cloud • Security • Software • Cybersecurity • Automation
The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.
Top Skills: Ai Coding AgentsCi/CdClaude CodeGitlabHexJupyterLightgbmLookerMachine LearningMlflowMlopsNumpyOpencodePandasPythonScikit-LearnSemantic LayerSnowflakeSQLTableauXgboost
19 Days Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads data science for the American Dream Initiative by developing customer outcome metrics, financial health indicators, personas, automated reporting, OKR frameworks, and experimentation programs. Integrates large-scale data, performs analyses and modeling using SQL and Python, and delivers executive-ready insights for targeting, personalization, and customer engagement. Partners cross-functionally, mentors team members, and ensures responsible analytics, compliance, and model-risk practices.
Top Skills: A/B TestingBig-Data EnvironmentsData VisualizationPower BIPythonRSQLStatistical AnalysisTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account