Data Science Practitioner
Skills
- Python machine learning development
- Data engineering with NiFi or Databricks
- AI model deployment and monitoring
- Natural language processing (NLP)
- Traditional machine learning techniques
- Experience handling healthcare data and privacy/compliance considerations
- Familiarity with GenAI and LLM integration patterns (RAG pipelines preferred)
- Ability to work in agile development cycles
Responsibilities
- Develop and validate machine learning and GenAI models using Python
- Design and implement data engineering pipelines (NiFi, Databricks) to prepare healthcare datasets
- Apply NLP techniques and RAG/LLM integrations to extract insights from text data
- Deploy and monitor AI models in production environments
- Collaborate in agile teams to deliver end-to-end data and AI solutions
- Document models, pipelines, and data handling practices with emphasis on security and compliance
- Work with stakeholders to translate mission requirements into technical solutions
Education
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent practical experience
- Relevant certifications or continued training in data science/ML preferred
Benefits
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement savings plan
- Paid time off and holidays
- Professional development, certifications, and industry training
- Career growth opportunities within Accenture and Accenture Federal Services
- Diversity and inclusion programs and reasonable accommodation processes
Average salary estimate
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