IN_Senior Associate_Data Engineer_Data and Analytics_Advisory_Hyderabad

• Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.

• Establish and promote best practices inmodeling, experimentation, and analytical rigor.

• Convert real-world healthcare challenges into scalable data science solutions.

• Collaborate with global stakeholders to influence product and business strategy.

• Mentor and enhance the technical capabilities of the data science team.

• Keep up to date with the latest advances in ML and healthcare analytics.

• Conduct exploratory data analysis using visualizations to understand data patterns and structures.

• Perform statistical analysis and hypothesis testing to validate assumptions.

• Develop, deploy, evaluate, and fine-tune machine learning models for business challenges.

• Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.

• Utilize advanced statistical and machine learning methods to derive actionable insights.

• Lead AI research projects focused on innovative data analysis techniques.

• Qualifications:

• 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.

• Strong expertise with Azure Stack services and Snowflake.

• Proficient in SQL with deep knowledge of dimensionalmodeling.

• Experience creating interactive dashboards using Power BI or Tableau.

• Familiarity with advanced statistical analysis, machine learning, and predictivemodeling.

• Programming proficiency in R or Python preferred.

• Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.

• Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus.

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