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Data Science and Evaluation Director

2 months ago

Rockville Maryland, United States Ripple Effect Full time
About the Role

Ripple Effect is seeking a highly skilled Data Science and Evaluation Manager to join our team. As a key member of our organization, you will be responsible for leading and managing data science and evaluation projects, ensuring technical soundness and relevance in support of government contracts.

Key Responsibilities
  • Lead and manage data science and evaluation projects, ensuring technical soundness and relevance, in support of government contracts.
  • Stay informed of industry trends and best practices in data science and evaluation, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions.
  • Provide technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods).
  • Develop and implement data-driven strategies to assess program performance and improve methodologies.
  • Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists.
  • Collaborate with stakeholders and clients to define data science needs and project objectives.
  • Conduct complex data analyses using statistical software and develop frameworks for continuous evaluation of programs.
  • Prepare and present findings and recommendations in a clear and impactful manner to various audiences.
  • Contribute to proposal writing and technical solutioning for new projects.
  • Develop detailed project plans to track progress and manage changes in project scope, schedule and costs related to process, outcome, and impact evaluation studies.
  • Enhance team operations through the development and implementation of streamlined processes.
Requirements
  • Minimum Education and Experience:
    • Bachelor's degree in relevant data science or evaluation field
    • 10 years relevant work experience, including 4+ years of experience deploying mixed methods techniques in program evaluations
  • Basic Requirements:
    • Technical experience with qualitative or quantitative software packages
    • Experience designing qualitative, quantitative, and mixed methods evaluations including surveys, interviews, and focus groups
    • Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions
    • Strong understanding and proven experience with AI and other emerging technologies to enhance analytical conclusions
    • Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook
    • Excellent organizational skills, attention to detail, and effective communication skills
  • Skills That Set You Apart:
    • Masters or Doctoral degree in relevant field
    • Experience leading NIH projects
    • Supervisory experience
    • Established networks in government contracting that can be leveraged
    • Experience with Bibliometrics or Portfolio Analysis
    • Project Management Professional (PMP) or other certifications