IN_Senior Associate_ AI Data Scientist Engineer_GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and metro location present, but senior specialized ML healthcare focus reduces broad applicant density.
Core ML skills are transferable, but healthcare revenue-cycle domain preference increases domain specificity.
Explicit 8+ years requirement plus mandatory advanced ML frameworks, transformers, GNNs and production deployment increases filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Lead development of advanced ML and statistical models to address complex healthcare problems, ensuring scalable data science solutions.
Establish best practices in modeling, experimentation, and analytical rigor while mentoring the data science team to enhance technical capabilities.
Collaborate with global stakeholders to influence product and business strategies using data-driven insights.
Minimum Requirements
8+ years of experience in data science or related quantitative field.
Bachelor of Engineering degree required.
Experience deploying machine learning models in production environments.
Expertise with machine learning methods including Transformers, deep learning frameworks, graph-based ML; prior healthcare domain experience preferred.
Ideal Candidate Profile
Technical leader skilled in developing and scaling AI/ML solutions in the healthcare domain, particularly healthcare revenue cycle.
Experienced in handling large, high-dimensional datasets and converting ambiguous healthcare challenges into actionable insights.
Comfortable collaborating with diverse global stakeholders and mentoring junior team members in a fast-evolving, innovation-driven environment.