Designation : Senior Analyst - Data Science

Level : L2

Location : Bengaluru

Experience : 3+ years

Job Role : Data Scientist –

- Healthcare AI &
- Clinical Intelligence

Responsibilities

- Model Development &
- Prototyping: Design, train, and validate machine learning and statistical models focused on risk stratification, disease progression, treatment intelligence, and healthcare recommendations.
- Longitudinal EHR Feature Engineering: Translate temporal clinical touchpoints—such as diagnostic records, symptoms, lab investigations, and prescriptions—into robust features for predictive models and generative AI systems.
- Unstructured Data Pipeline Design: Build models and pipelines capable of extracting insights from unstructured healthcare records, doctor notes, and medical terminologies.
- Problem Scoping &
- Hypothesis Testing: Frame open-ended clinical questions into transparent, measurable machine learning objectives; define appropriate targets, data requirements, and success metrics.
- Production Integration &
- Monitoring: Work alongside engineering teams to operationalize prototypes into production environments and establish continuous model performance tracking.
- Comprehensive Model Evaluation:



Construct evaluation systems that assess offline metrics alongside real-world clinical validity, model calibration, algorithmic bias, and robustness.
- Cross-Functional Collaboration: Partner with domain experts (clinicians) and technical stakeholders to ensure solutions directly enhance healthcare delivery and operational outcomes.

Required skills

Primary Skillset

- Machine Learning &
- Statistical Modeling (Model Design, Evaluation, Calibration)
- Python &
- Core Data Science Stack (Pandas, NumPy, Scikit-learn, PyTorch or similar)
- Advanced SQL &
- Complex Querying
- Working with Large-Scale, Messy &
- Longitudinal Data
- Problem Formulation (Translating ambiguous domain/business problems into concrete ML setups)

Secondary Skillset
- Healthcare/EHR/Claims Data Processing &
- Clinical Ontologies
- Clinical NLP &
- Medical Language Models (including LLMs/Generative AI)
- Advanced Analytics: Time-Series Analysis, Survival Analysis, &
- Causal Inference
- Big Data Frameworks (e.g., PySpark)
- Production ML Deployment &
- Performance Monitoring
- Technical Communication &
- Cross-Functional Stakeholder Alignment

📌 Senior Analyst - Data Science (Bengaluru)
🏢 LATENTVIEW ANALYTICS
📍 Bengaluru