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Tier-1 brand, mid-level generalist data engineer title, metro location, and broad skillset increase competition.
Core data engineering skills transfer across industries, though healthcare emphasis moderately narrows applicability.
Explicit 5+ years plus mandatory Snowflake, Azure, SQL, ETL, and ML skills raise screening strictness.
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Lead development of advanced machine learning and statistical models solving complex healthcare problems.
Establish best practices in modeling, experimentation, and analytical rigor while converting healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence strategy and mentor the data science team, staying updated on ML and healthcare analytics advances.
4+ years hands-on experience in data analytics, data engineering, and machine learning solutions.
Strong expertise with Azure Stack services and Snowflake, proficient SQL with dimensional modeling knowledge.
Experience in creating interactive dashboards using Power BI or Tableau, programming proficiency in R or Python preferred.
Full-time Bachelor of Engineering degree, location: Hyderabad, Employment Type: Full Time, Permanent.
Experienced in healthcare data science applications with ability to translate domain challenges into scalable solutions.
Skilled in end-to-end ML model lifecycle including deployment and fine-tuning, and building scalable data pipelines.
Demonstrates ability to lead AI research projects and collaborate with global teams influencing product/business strategy.