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Tier-1 brand, popular data-science role, and metro Hyderabad increase candidate competition.
Requires strong ML skills but prefers healthcare domain knowledge, limiting cross-industry transfer somewhat.
Mandatory 8+ years and specialized ML plus production experience make filters strict.
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Lead development of advanced ML and statistical models to solve complex healthcare problems, especially in healthcare revenue cycle.
Establish best practices in modeling, experimentation, and analytical rigor; convert healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders on product and business strategy; mentor data science team; keep updated on latest ML and healthcare analytics advances.
8+ years of experience in data science or related quantitative field.
Bachelor of Engineering degree required.
Expertise in statistical modeling, machine learning (including transformers, deep learning, graph ML), and handling large datasets.
Experience deploying models into production; prior healthcare domain knowledge preferred; location: Hyderabad; full-time, permanent.
Senior-level data scientist with strong technical leadership and mentoring skills in healthcare-focused analytics.
Experienced with modern ML techniques including NLP transformers, deep learning frameworks, and graph-based ML.
Comfortable working independently on ambiguous problems and collaborating with global teams to influence strategy.