Principal Data Scientist - Healthcare Innovations
A
American Institutes for ResearchHealthcare
Within the United States (U.S.)Full-TimePrincipal
Salary150000 - 185000 USD per year
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Job Details
- Experience
- 11+ years of experience
- Required Skills
- PythonArtificial IntelligenceCloud ComputingMachine LearningData visualizationRNLP
Requirements
- Bachelors degree in Computer Science, Data Science, Statistics, Computational Social Science, or a related field
- Minimum of 11 years of experience applying advanced data science techniques to real-world problems
- Deep expertise in machine learning
- Deep expertise in natural language processing
- Deep expertise in statistical modeling
- Proven track record of leading large-scale, interdisciplinary data science projects
- Experience with cloud computing
- Experience with big data technologies
- Experience with scalable infrastructure
- Familiarity with ethical AI principles and data governance frameworks
- Strong publication record and external visibility in the data science community
- Advanced proficiency in Python
- Advanced proficiency in R
- Expertise in data visualization
- Expertise in storytelling and communicating complex findings to diverse audiences
Responsibilities
- Lead the strategic vision and execution of AIR’s most complex and high-impact data science projects
- Design and implement cutting-edge analytical frameworks, including AI/ML models, to extract insights from diverse and high-dimensional datasets
- Serve as a senior technical advisor across AIR’s research domains, including education, health, workforce, and international development
- Spearhead the integration of novel data sources (e.g., geospatial, unstructured, real-time) into AIR’s research and evaluation efforts
- Guide the development of scalable data pipelines and reproducible research environments
- Represent AIR in external forums, including conferences, advisory boards, and collaborative partnerships
- Author influential publications and thought leadership pieces that advance the field of data science for social good
- Mentor senior data scientists and technical staff, fostering innovation, technical excellence, and career growth
- Lead cross-functional teams and collaborate with economists, policy researchers, and technologists to deliver integrated solutions
- Drive business development efforts, including proposal strategy, client engagement, and partnership cultivation
- Ensure ethical and responsible use of data and algorithms in all phases of research and product development
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