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Tier-1 brand, mid-level data engineer role, metro location and broad skillset create high candidate competition.
Requires specialized data engineering and ML skills but remains reasonably transferable across industries.
Multiple mandatory technical skills plus explicit 5+ years experience make shortlisting highly strict.
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Develop advanced machine learning and statistical models to address complex healthcare problems.
Lead AI research projects and promote best practices in modeling, experimentation, and analytical rigor.
Design and implement scalable data pipelines and ETL workflows on Snowflake/Data Lake platforms, collaborating with global stakeholders to influence product and business strategy.
5+ years of experience in data analytics, data engineering, and machine learning solutions.
Bachelor of Engineering degree required.
Strong proficiency in Azure Stack services, Snowflake, SQL with dimensional modeling, and data visualization tools like Power BI or Tableau.
Programming skills in R or Python preferred; experience with AI Automation projects such as Generative AI or Agentic AI is a plus.
Experienced in applying ML and advanced statistical methods specifically within healthcare analytics contexts.
Capable of leading technical teams, mentoring data scientists, and driving AI research initiatives.
Skilled at translating complex healthcare challenges into scalable data science solutions and communicating technical concepts effectively to diverse audiences.