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Tier-1 brand, mid-level ML/data role in a metro with generalist requirements increases candidate competition.
Core ML and cloud data engineering skills are transferable across industries, though healthcare experience is advantageous.
Explicit 5+ years plus mandatory Azure, Snowflake, SQL and ML skills makes shortlisting highly strict.
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Lead development of advanced machine learning and statistical models to solve complex healthcare problems.
Design and implement scalable data pipelines and integrate data into Snowflake/Data Lake platforms.
Collaborate with global stakeholders to influence product and business strategy and mentor the data science team.
5+ years of experience in data analytics, data engineering, and machine learning solutions.
Bachelor of Engineering degree required.
Strong expertise with Azure Stack services, Snowflake, and SQL including dimensional modeling.
Experience with interactive dashboard creation using Power BI or Tableau.
Experienced in building healthcare ML models and handling complex data challenges in healthcare domain.
Proficient in Python or R for programming and advanced statistical/machine learning techniques.
Able to lead AI research projects and translate real-world healthcare challenges into scalable data science solutions.