Data Scientist - Machine Learning/Predictive Modeling

As a Data Scientist, you will play a critical role in developing intelligent systems that power decision-making across our clinical, operational, and engagement workflows.

You will work on high-impact projects involving patient risk stratification, clinical decision support, personalized care, and digital health interventions.

This is a hands-on, technical role requiring strong experience in statistical analysis, machine learning, and applied NLPalong with a deep understanding of how to translate data into actionable healthcare insights.

KEY RESPONSIBILITIES :

- Ingest and clean structured and unstructured healthcare datasets including EHR, diagnostic results, claims data, prescriptions, and call center transcripts.

- Build robust data pipelines to standardize and transform data from rural and urban touchpoints into usable formats.

- Machine Learning & Predictive Modeling

- Patient behavior prediction and risk profiling

- Clinical triage and referral recommendations

- Personalized health content delivery and engagement

- Deploy models in production environments and monitor performance over time.

- Lead the development of A/B tests and define metrics to measure clinical and business impact.

- Apply modern NLP techniques to extract structured insights from unstructured data (e.g., prescriptions, doctor notes, audio transcripts).

- Utilize transformer-based models (BERT, GPT, LLaMA, etc.), embeddings, named entity recognition (NER), and text classification for healthcare use cases.

- Build dashboards and visualizations in Power BI, Tableau, or similar tools to communicate insights to internal stakeholders (product, clinical, operations).

- Design intuitive interfaces that help non-technical users interpret model outputs and decisions.

- Work closely with product managers, software engineers, and medical experts to translate domain needs into data solutions.

- Ensure seamless integration of models into real-time workflows and digital health platforms.

- Ensure all ML solutions are interpretable, privacy-preserving, and bias-aware.

- Uphold ethical AI standards, especially in sensitive patient-facing applications.

REQUIRED SKILLS & EXPERIENCE :

Technical Skills :

- Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, PySpark, etc.

- Solid foundation in statistical analysis, machine learning, and data modeling.

- Hands-on experience with NLP models and frameworks like Hugging Face, spaCy, Transformers, etc.

- Experience with cloud platforms (AWS, Azure, GCP) and tools like Databricks, Snowflake, ADLS.

- Understanding of big data technologies such as Spark, Hadoop.

- Familiarity with experiment design (A/B testing, confidence intervals, hypothesis testing)