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Tier-1 brand, mid-level generalist data role in metro yields high competition.
High because role targets healthcare analytics and consulting experience, limiting transferability across unrelated industries.
High due to explicit 5+ years requirement and mandatory Azure, Snowflake, SQL and data engineering skills.
Lead development of advanced machine learning and statistical models to address complex healthcare problems.
Design and implement scalable data pipelines, ETL workflows, and data integration strategies primarily using Snowflake and Data Lake platforms.
Collaborate with global stakeholders to influence product and business strategy while mentoring the data science team and advancing technical capabilities.
5+ years of hands-on experience in data analytics, data engineering, and machine learning solutions.
Bachelor of Engineering degree.
Strong expertise in Azure Stack services and Snowflake; proficient in SQL with deep knowledge of dimensional modeling.
Experience with Power BI or Tableau for interactive dashboard creation; programming skills in R or Python preferred.
Experienced in healthcare-related analytics and capable of converting real-world healthcare challenges into scalable data science solutions.
Skilled in advanced machine learning techniques and AI research projects including AI Automation and Generative AI.
Ability to communicate complex technical concepts clearly to diverse audiences and lead technically within a global stakeholder environment.