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Tier-1 brand, mid-level ML role in metro with a popular Data Scientist title increases competition.
ML skills are transferable, but healthcare domain preference moderately increases background sensitivity.
Explicit 4–7 years requirement plus mandatory ML, NLP, and production experience creates strict shortlisting filters.
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Lead development of advanced ML and statistical models addressing complex healthcare problems, including healthcare revenue cycle.
Drive best practices in modeling, experimentation, and analytical rigor plus translate real-world problems into scalable data science solutions.
Mentor the data science team and collaborate with global stakeholders to influence product and business decisions.
4+ years of experience in data science or related quantitative field (CS, Statistics, Math, etc.).
Mandatory skills: Data Science, Modern ML techniques (including transformers, deep learning, graph neural networks), NLP.
Degree required: Bachelor of Engineering (B.E., B.Tech) or equivalent technical degree (M.Tech, M.E., MCA).
Experience taking models to production; knowledge of large, high-dimensional datasets; preference for healthcare domain experience.
Experienced in healthcare data science, capable of handling ambiguous, high-impact problems independently.
Strong technical depth in modern ML methods with ability to stay updated on healthcare analytics advancements.
Effective collaborator and communicator able to engage stakeholders globally and elevate team capabilities through mentorship.