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Strong Tier-1 brand, metro location, and popular data-scientist title create high candidate competition.
Role requires specialist ML techniques and healthcare domain familiarity, limiting cross-industry transferability.
Explicit 8+ years, mandatory ML modeling and production deployment experience, and domain expectations drive high strictness.
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Lead development of advanced ML and statistical models to solve complex healthcare problems with focus on healthcare revenue cycle.
Establish best practices in modeling, experimentation, and analytical rigor; convert healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence product/business strategy and mentor data science team members.
8+ years work experience in data science or related quantitative field.
Bachelor of Engineering degree mandatory.
Proven expertise in ML methods including transformers, deep learning, graph-based ML, and statistical modeling.
Experience deploying models into production; prior healthcare domain experience preferred.
Experienced in handling large, high-dimensional healthcare datasets to deliver actionable insights.
Skilled in modern ML techniques especially in NLP and representation learning with deep learning frameworks.
Able to independently solve ambiguous problems with impact and collaborate effectively with diverse stakeholders.