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Staff Data Scientist – Healthcare
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.
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