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Strong Tier-1 brand, common Data Scientist title, mid-level range and broad skillset make competition high.
Requires US healthcare domain knowledge and healthcare-specific analytics experience, so background fit sensitivity is high.
Mandatory ML techniques, Azure/Databricks expertise and healthcare domain experience create high shortlisting strictness.
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Lead data science projects end-to-end including design, implementation, and delivery with minimal supervision.
Communicate effectively with business partners and leaders to operationalize analytics solutions, ensuring timely and quality delivery.
Apply advanced machine learning techniques and utilize Python, Databricks, and Azure Cloud to solve complex healthcare business problems.
Graduate degree or equivalent experience in any stream with relevant analytics experience.
Experience in analytics industry with proficiency in statistical and advanced machine learning techniques (linear regression, logistic regression, time series, clustering, SVM, GBM, NLP).
Proficiency in Python, Databricks, Microsoft Office Excel/Access/PowerPoint, and experience using Azure Cloud for healthcare domain projects.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to lead projects independently and manage the full engagement lifecycle.
Experience working under pressure in fast-paced environments with strong client communication skills focused on data exploration and solution design.
Domain expertise or understanding of the US healthcare industry and ability to leverage Optum and UnitedHealth Group cloud technologies effectively.