Data Scientist

4 days ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 9,00,000

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 6-9 LPA)

Min Experience: 2 years

Location: Bangalore

JobType: full-time

We are seeking a skilled Data Scientist to develop data-driven solutions at the intersection of healthcare technology, clinical operations, and billing optimization. In this role, you will work extensively with real-world EMR (Electronic Medical Records) data from rehabilitation clinics across the United States, building predictive models and generating insights that directly influence patient care, operational efficiency, and revenue outcomes. This position offers an opportunity to apply advanced data science techniques to meaningful, high-impact healthcare challenges.

What You'll DoClinical Analytics & Predictive Modeling
  • Analyze patient outcomes to identify treatment patterns and optimize clinical protocols
  • Build predictive models for patient progress, readmission risk, and treatment effectiveness
  • Develop statistical models that support clinicians in making data-informed decisions
Billing & Revenue Cycle Intelligence
  • Create predictive models to optimize billing workflows and improve reimbursement outcomes
  • Analyze denial patterns and develop classification models to reduce revenue leakage
Model Development & Experimentation
  • Design, train, and validate machine learning models
  • Conduct statistical analyses and A/B testing to evaluate model performance
  • Apply AI and deep learning techniques across clinical and operational use cases
  • Experiment with various modeling approaches to solve complex healthcare problems
Data Analysis & Insights
  • Process and analyze large, complex healthcare datasets from multiple sources
  • Perform exploratory data analysis to uncover patterns and guide hypothesis formation
  • Visualize findings to clearly communicate insights to technical and non-technical stakeholders
  • Conduct feature engineering and model optimization activities
Required Qualifications
  • 2–3 years of hands-on experience in data science
  • Strong proficiency in Python (pandas, numpy, scikit-learn)
  • Proficiency in SQL for advanced data querying and manipulation
  • Experience with AI/ML frameworks such as PyTorch, XGBoost, TensorFlow, or similar
  • Solid grounding in statistical modeling, hypothesis testing, and experimental design
  • Experience working with messy, real-world datasets
  • Strong data visualization and communication skills
  • Understanding of model evaluation metrics, cross-validation, and overfitting
  • Ability to translate complex analytical concepts for non-technical audiences
Preferred Qualifications
  • Experience working with healthcare datasets (EMR, claims, clinical outcomes)
  • Knowledge of healthcare billing, CPT codes, ICD-10, or revenue cycle processes
  • Familiarity with HIPAA and healthcare data privacy norms
  • Experience with deep learning (CNNs, RNNs, Transformers)
  • Background in causal inference or time-series analysis
  • Experience in NLP for clinical or unstructured text
Skills
  • Data Science & AI
  • Python for Data Science
  • Data Modeling
  • SQL

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