TECHNICAL MANAGER - NLP

Happiest Minds Technologies; Maharashtra; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Happiest Minds Technologies is seeking an experienced Healthcare Data Science Manager to lead analytics in the healthcare domain. You will manage a team to drive data-driven decision-making and innovation in clinical and operational areas.

The ideal candidate has 10+ years in data science with strong healthcare domain expertise. Responsibilities include developing predictive models and ensuring compliance with healthcare data standards.

Qualifications

• 10+ years of experience in data science, 3-5 years in a leadership role.
• Strong experience in the healthcare domain (payer, provider, pharma).
• Strong understanding of statistical modeling and data mining techniques.

Responsibilities

• Lead and manage a team of data scientists and analysts.
• Design and implement advanced analytics solutions.
• Develop models for patient risk stratification and readmission prediction.

Skills

Python / R

Machine Learning (Supervised & Unsupervised)

Deep Learning

SQL & Big Data technologies

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Tableau

Power BI

AWS

Azure

GCP

Job description

Job Summary

We are seeking an experienced Healthcare Data Science Manager to lead advanced analytics and data science initiatives within the healthcare domain. The ideal candidate will combine strong technical expertise with domain knowledge in healthcare, driving data-driven decision-making, predictive modeling, and innovation across clinical, operational, and financial areas.

Key Responsibilities

• Lead and manage a team of data scientists, analysts, and ML engineers.
• Design and implement advanced analytics solutions including predictive modeling, machine learning, and AI-driven insights.
• Work closely with stakeholders across healthcare operations, clinical teams, and business leadership to identify data-driven opportunities.
• Develop models for:
  • Patient risk stratification
  • Readmission prediction
  • Disease progression modeling
  • Revenue cycle optimization
• Ensure compliance with healthcare data standards (HIPAA, HL7, FHIR, etc.).
• Drive data governance, quality, and security practices.
• Translate complex analytical findings into actionable business insights.
• Oversee end-to-end data science lifecycle (data collection, preprocessing, modeling, validation, deployment).
• Collaborate with engineering teams to deploy scalable data solutions.
• Stay updated with emerging trends in healthcare analytics and AI.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Healthcare Analytics, or related field (PhD preferred).
• 10+ years of experience in data science, with at least 3?5 years in a leadership/managerial role.
• Strong experience in the healthcare domain (payer, provider, pharma, or life sciences).
• Expertise in:
  • Python / R
  • Machine Learning (Supervised & Unsupervised)
  • Deep Learning (preferred)
  • SQL & Big Data technologies (Spark, Hadoop)
  • Experience with healthcare datasets such as EMR/EHR, claims, or clinical data.
  • Strong understanding of statistical modeling and data mining techniques.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of NLP in healthcare (clinical text analysis).
• Exposure to tools like Tableau, Power BI for visualization.
• Experience with MLOps and model deployment pipelines.
• Familiarity with regulatory compliance and data privacy laws.