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Strong Tier-1 brand and metro location but senior, specialized ML role reduces applicant density.
Core ML skills are transferable, but healthcare revenue-cycle domain preference increases background sensitivity to medium.
Explicit 8+ years, advanced ML stack, production deployment and healthcare preference make shortlisting highly strict.
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Lead development of advanced machine learning and statistical models addressing complex healthcare problems, especially in healthcare revenue cycle.
Drive adoption of best practices in modeling, experimentation, and analytics rigor while converting healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence product and business strategy and mentor the data science team to enhance technical capabilities.
8+ years of experience in data science or related quantitative fields (Computer Science, Statistics, Mathematics).
Bachelor of Engineering degree required.
Expertise with statistical modeling, machine learning (including Transformers, Deep Learning, Graph Neural Networks), and handling large high-dimensional datasets.
Experience deploying ML models into production and prior healthcare domain experience preferred; Location: Hyderabad; Full-time permanent role.
Senior-level data scientist with proven leadership in healthcare-focused ML projects, especially within healthcare revenue cycle.
Strong strategic orientation with ability to influence business and product strategy while managing technical teams.
Demonstrates deep expertise in advanced ML methods and experience in navigating ambiguous problems independently to deliver impactful, scalable solutions.