Staff Data Scientist – Healthcare

Anblicks; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Anblicks is seeking a Staff Data Scientist – Healthcare in Hyderabad to lead advanced ML initiatives for global healthcare analytics, building scalable data products and delivering measurable business impact.

You will partner with product, engineering, and business teams, drive model development, governance, and deployment using Python/R/Scala, Spark, AWS, Snowflake, and Databricks, with 7–9 years of experience. Master’s degree preferred.

Qualifications

• 7–9 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• 5+ years of experience in Healthcare domain with healthcare datasets.
• Strong analytical skills and experience with large, diverse datasets.
• Hands-on expertise in ML algorithms and statistical modeling.
• Experience deploying ML models into production environments.
• Experience building ETL pipelines and data transformation workflows.
• Experience with cloud environments such as AWS, Snowflake, Databricks.
• Proficiency in Python, R, Scala, Spark/PySpark, H2O.
• Strong communication skills.

Responsibilities

• Develop and deploy advanced ML models within the healthcare domain.
• Collaborate with product, engineering, and business stakeholders.
• Contribute to scalable AI-driven healthcare data products.
• Support governance, compliance, and quality standards.
• Drive innovation using modern ML and cloud technologies.
• Lead evaluation of modeling techniques and ownership of components.
• Contribute to documentation and maintenance of models.
• Define KPIs with business teams and ensure data integration.

Skills

Python

R

Scala

Spark/PySpark

ML algorithms

Model deployment

Communication skills

Education

Bachelor's degree in Statistics/Mathematics/CS/Engineering

Master's degree in DS or related field

Tools

AWS

Snowflake

Databricks

Docker

Kubernetes

H2O

Job description

Location: Hyderabad

Experience: 7–9 Years

At Anblicks, we help enterprises accelerate digital transformation through Data Engineering, Cloud, and AI‑led analytics solutions. We partner with global clients to design scalable data platforms and build advanced analytics products that drive measurable business impact.

We are looking for a highly skilled Staff Data Scientist – Healthcare to join our Data Science & AI practice. This role involves hands‑on development of advanced machine learning solutions, working closely with cross‑functional teams, and delivering scalable healthcare analytics products for global clients.

Role Overview

• Develop and deploy advanced ML models within the healthcare domain.
• Collaborate with product, engineering, and business stakeholders.
• Contribute to scalable AI‑driven healthcare data products.
• Support governance, compliance, and quality standards.
• Drive innovation using modern ML and cloud technologies.

Key Responsibilities

Technical Leadership

• Lead evaluation and experimentation of alternate or additive modeling techniques.
• Take ownership of key product components, coordinating between product, data science, and engineering teams.
• Contribute to documentation, performance improvement, and maintenance of models.
• Develop strong working knowledge of data pipelines and modeling workflows to support enhancements and issue resolution.

Healthcare Modeling & Advanced Analytics

• Combine healthcare domain expertise with ML/AI knowledge to build high‑performing predictive models.
• Validate and enhance healthcare data products and analytical solutions.
• Apply advanced statistical and machine learning algorithms (GLM, Decision Trees, Boosting, Bagging, SVM, Regression, Clustering, etc.).
• Execute model training, hyperparameter tuning, validation, and evaluation.
• Contribute to deployment and lifecycle management of ML models.

Product Development & Operationalization

• Collaborate with product teams to define project requirements, data sources, and modeling approaches.
• Identify and define KPIs aligned with business goals and product economics.
• Work closely with engineering and platform teams to ensure seamless data integration and model deployment.
• Suggest automation and process improvements.
• Support closed‑loop measurement and performance tracking frameworks.

Quality, Governance & Compliance

• Monitor model performance and optimize as needed.
• Perform analysis, maintenance, and upgrades of existing models.
• Ensure compliance with healthcare data regulations (e.g., HIPAA).
• Support QA processes and governance controls for healthcare data assets.

Required Qualifications

• 7–9 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• 5+ years of experience in the Healthcare domain working with healthcare datasets.
• Strong analytical skills and experience working with large, diverse datasets.
• Hands‑on expertise in ML algorithms and statistical modeling techniques.
• Strong experience in model training, evaluation, and hyperparameter tuning.
• Experience deploying ML models into production environments.
• Experience building ETL pipelines and data transformation workflows.
• Experience working in Big Data or Cloud environments such as AWS, Snowflake, Databricks, or similar platforms.
• Proficiency in Python, R, Scala, Spark/PySpark, H2O, or similar technologies.
• Strong communication skills with the ability to translate technical concepts into business insights.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related quantitative field.

Preferred Qualifications

• Experience with Deep Learning and Neural Networks.
• Knowledge of containerized deployment (Docker, Kubernetes).
• Experience with orchestration tools such as Airflow or Kubeflow.
• Experience in consulting‑led healthcare analytics engagements.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Engineering, or related field.
• Experience with H2O or similar ML platforms.

Why Join Anblicks?

• Work on cutting‑edge AI and healthcare analytics programs.
• Collaborate with global enterprise clients.
• Be part of a fast‑growing Data & AI organization.
• Gain exposure to modern cloud and ML ecosystems.
• Opportunity to contribute to impactful healthcare transformation initiatives.