Staff Data Scientist Healthcare

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

As a Staff Data Scientist at Anblicks, you will:

• 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.