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Tier-1 brand plus metro location but seniority and niche ML requirements moderate competition.
Advanced ML skills are transferable but healthcare domain preference raises sensitivity to domain experience.
Explicit 8+ years and advanced ML production experience make shortlisting highly strict.
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Lead development of advanced machine learning and statistical models to address complex healthcare problems, especially in healthcare revenue cycle.
Define and implement best practices in modeling, experimentation, and analytical rigor; deliver scalable data science solutions from real-world healthcare challenges.
Collaborate with global stakeholders to influence product and business strategies and mentor data science team members to enhance technical capabilities.
8+ years of experience in data science or related quantitative fields such as Computer Science, Statistics, Mathematics.
Bachelor of Engineering degree mandatory; certifications not explicitly mentioned.
Expertise in statistical modeling, machine learning (including Transformers, deep learning, graph-based ML), and handling large high-dimensional datasets.
Location: Hyderabad; Employment: Full-time, Permanent. Notice period or visa sponsorship: Not explicitly mentioned.
Senior-level individual contributor with deep technical expertise in advanced ML methods applied to healthcare analytics, especially healthcare revenue cycle.
Experience deploying machine learning models in production environments with ability to handle ambiguous problems independently.
Strong collaboration and communication skills for engaging diverse stakeholders and influencing product/business strategy globally.