Data Scientist – AI-driven Healthcare Solutions

About the role

We are looking for a Data Scientist to develop AI‑driven healthcare enterprise applications. The role involves working with large, complex datasets to identify product and process optimization opportunities while collaborating closely with internal stakeholders and cross‑functional teams.

Key responsibilities

• Translate business challenges into analytical solutions and build robust data models.
• Analyze complex datasets to uncover trends, patterns, and actionable insights supporting strategic initiatives.
• Design, build, and maintain reporting systems using classical and modern machine learning and deep learning algorithms.
• Evaluate model performance, report business impact, and communicate insights clearly.
• Identify opportunities for product and process improvements through advanced analytics.

Required profile

• 4+ years of hands‑on experience with Python and advanced SQL for large datasets.
• Proven experience training, tuning, and testing ML algorithms and text‑mining techniques.
• Experience with prompt engineering and Generative AI for classification and data enrichment.
• Hands‑on experience with AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.

Required skills

• Python (Pandas, NumPy, SciPy, Matplotlib, regular expressions)
• SQL querying and optimization
• Machine learning algorithms (SVM, CART, Bagging, Boosting) and deep learning
• Prompt engineering, Generative AI, text mining
• AWS services (Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend)
• Object‑oriented programming and custom Python packages
• Probability, statistics, and data visualization tools (Quicksight, Power BI)