Data Scientist 4

Accountabilities

• • Lead the implementation and adoption of artificial intelligence, LLMs, machine learning, automation, and emerging analytical technologies across federal data science initiatives.
  • Develop and oversee AI monitoring, evaluation, and quality workflows to ensure analytical solutions perform effectively and reliably.
  • Lead the analysis, visualization, interpretation, and synthesis of diverse federal datasets to generate actionable insights.
  • Manage the delivery of analytical products, reports, dashboards, recommendations, and other data-driven deliverables for clients and stakeholders.
  • Provide technical leadership throughout the data lifecycle, including data intake, storage, governance, synthesis, automation, analytics, and product development.
  • Establish and implement data management, analytics, QA/QC, defect tracking, and governance processes that promote data quality, integrity, security, and availability.
  • Serve as a primary technical and operational point of contact for clients, stakeholders, and project leadership, ensuring clear communication and effective delivery.
  • Manage project priorities, resource planning, workload coordination, milestones, and delivery schedules to support successful project outcomes.
  • Evaluate AI-enabled tools and methodologies to improve data processing, coding efficiency, workflow automation, and analytical capabilities.
  • Collaborate with multidisciplinary teams to communicate complex analytical findings clearly and translate them into actionable business and program recommendations.
  • Support proposal development, technical solutioning, project planning, and business development activities.
  • Promote continuous improvement, innovation, and adoption of data science and analytics best practices across project teams.

  Requirements

  • Bachelor’s degree plus 9 years of relevant experience, Master’s degree plus 7 years, or PhD plus 4 years of relevant experience.
  • Degree in a data-focused discipline such as Data Science, Computer Science, Statistics, Informatics, Economics, Mathematics, Social Science, Public Health, or a related field.
  • Strong understanding of AI tools, LLMs, machine learning concepts, statistical methodologies, data analytics, and emerging technologies.
  • Proven experience managing analytics projects, contract tasks, technical initiatives, and client-facing deliverables.
  • Strong programming and analytical capabilities using SQL, Python, SAS, and/or R.
  • Proficiency with version control tools such as Git, Bitbucket, and SourceTree.
  • Experience working in a consulting environment with direct client engagement, stakeholder management, and technical communication.
  • Strong technical writing skills with the ability to produce clear, concise, and well-documented analyses, reports, presentations, and technical materials.
  • Strong critical-thinking, communication, collaboration, leadership, and problem-solving skills.
  • Experience supporting proposal efforts, technical solution development, project planning, and business development.
  • Ability to stay current with developments in AI, machine learning, data science, and emerging analytical technologies and apply relevant advances to project work.
  • Ability to obtain and maintain Public Trust access for federal information systems and successfully complete a federal background investigation.
  • Preferred experience includes supporting federal data and research programs, particularly projects involving NIH, USACE, NOAA, or EPA.
  • A PhD in a social science discipline, experience with user research and human-centered design, and knowledge of Agile methodologies are advantageous.
  • Experience with Jira, Confluence, dashboard development, workflow automation, predictive analytics, machine learning, or AI-enabled products is a plus.

  Benefits

  • Opportunity to work on advanced AI, machine learning, and data science initiatives supporting federal government programs.
  • Exposure to diverse and data-intensive projects spanning areas such as public health, social science, natural resources, and other federal domains.
  • Opportunity to contribute to technical solutioning, innovation, proposal development, and business growth initiatives.
  • Collaborative consulting environment with direct interaction with clients, stakeholders, and multidisciplinary teams.
  • Opportunities to evaluate and implement emerging AI technologies, LLMs, automation tools, and modern analytical methodologies.
  • Professional growth through exposure to complex technical challenges and evolving data science practices.
  • Opportunity to contribute to high-impact data products, analytical solutions, dashboards, and actionable recommendations.
  • Position requires successful completion of a government background investigation and the ability to obtain and maintain Public Trust access.