Website:
medicoworkforce.com
Job details:
About The Opportunity
A fast-growing healthcare talent solutions provider operating at the intersection of data science and medical workforce intelligence, we build predictive analytics and AI-driven matching engines that connect clinical professionals with high-impact roles across India. Our data science team powers real-time talent demand forecasting, skill gap analysis, and personalized career pathway recommendations for thousands of clinicians nationwide.
Role & Responsibilities
- Design and deploy machine learning models to predict clinician hiring trends, attrition risk, and skill-demand hotspots across Indian healthcare markets.
- Build and maintain scalable data pipelines using Python, SQL, and cloud platforms to ingest, clean, and transform heterogeneous healthcare workforce datasets.
- Collaborate with product and HR teams to translate business problems into data-driven KPIs and visual dashboards using Power BI or Tableau.
- Apply NLP techniques to parse and categorize unstructured clinician resumes and job descriptions for intelligent matching and recommendation.
- Optimize model performance through feature engineering, hyperparameter tuning, and A/B testing of scoring logic.
- Document modeling approaches and maintain reproducible experiments using Git, MLflow, or similar version control frameworks.
Skills & Qualifications
- Must-Have
- Python
- SQL
- Scikit-learn
- Pandas
- Power BI
- Tableau
- Git
- MLflow
- Preferred
- Apache Spark
- FastAPI
- Healthcare domain experience
Benefits & Culture Highlights
- On-site collaborative workspace in a high-impact healthcare tech environment.
- Opportunity to shape national healthcare workforce strategies using data.
- Cross-functional exposure with product, HR, and clinical teams.
Skills: python,git,pandas,tableau,power bi,sql,scikit-learn
Click on Apply to know more.
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