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Job Description
Structured overview of role & requirementsAbout This Role
Lead teams to develop and implement data-driven solutions specifically for healthcare clients, focusing on advanced analytics and statistical techniques.
Manage end-to-end data pipelines and data lakes, applying machine learning and AI methodologies including LLM frameworks and operations to enhance predictive modeling.
Coach and mentor team members, ensure project success and compliance with data quality standards, and identify business opportunities through strategic planning and client engagement.
Minimum Requirements
Bachelor's degree minimum required.
At least 8 years of relevant work experience.
Proficiency in English (oral and written) mandatory.
Experience in healthcare domain with end-to-end AI model deployment and familiarity with programming languages including Python, R, and C++ required.
Ideal Candidate Profile
Experienced in managing data science projects leveraging LLM frameworks, RAG pipelines, and advanced machine learning techniques in healthcare contexts.
Capable of strategic leadership and mentoring within data and analytics engineering teams.
Skilled in designing and managing complex data infrastructure to support large-scale data processing and predictive analytics.
