Lead Data Scientist

Job Description: Lead Data Scientist – Healthcare Domain Specialist

Location: Bangalore

Employment Type: Full-Time

Industry: Healthcare/AI/Analytics

Domain Expertise: Predictive Analytics, Healthcare Data

As a key leader in our data science team, you will define strategy, lead projects, and collaborate with healthcare professionals, engineers, and product teams to deploy scalable AI solutions.

Key Responsibilities

• AI Model Development: Design, develop, and optimize predictive models for elderly fall risk assessment using advanced machine learning (ML) and deep learning techniques.
• Data Analysis: Work with healthcare-specific data (e.g., patient records, sensor data, clinical data) to uncover patterns and actionable insights.
• Domain Expertise Application: Leverage healthcare domain knowledge to ensure accuracy, reliability, and ethical use of models in predicting fall risks.
• Collaborate with Experts: Collaborate with clinicians, healthcare providers, and crossfunctional teams to align AI solutions with clinical workflows and patient care strategies.
• Data Engineering: Develop robust ETL pipelines to preprocess and integrate healthcare data from multiple sources, ensuring data quality and compliance.
• Evaluation & Optimization: Continuously evaluate model performance and refine algorithms to achieve high accuracy and generalizability.
• Compliance & Ethics: Ensure compliance with healthcare data regulations such as HIPAA, GDPR, and implement best practices for data privacy and security.
• Research & Innovation: Stay updated with the latest research in healthcare AI, predictive analytics, and elderly care solutions, integrating new techniques as applicable.
• Team Management: Guide all team members in technical and domain-specific problemsolving, manage day to day task deliverables, evaluate individual's performance and coach.
• Stakeholder Management: Present insights, models, and business impact assessments to senior leadership and healthcare stakeholders.

Required Skills & Qualifications

• Education: Master's or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field. A strong academic background in healthcare is preferred.
• Experience:

o years of experience in data science, with at least 2 years in the healthcare domain.

o Prior experience in leading AI projects in healthcare startups, hospitals, or MedTech companies.

o Ability to work in cross-functional teams.

o Ability to publish papers and research findings related to healthcare data science

• Technical Expertise: o Proficiency in Python, R, or other programming languages used for ML and data analysis.

o Hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Scikitlearn).

o Experience with time-series data, wearable/sensor data, or IoT data integration is a plus.

o Strong knowledge of statistics, probability, and feature engineering.

o Familiarity with cloud platforms (AWS, Azure, GCP) and tools for scalable ML pipelines.

• Healthcare Domain Knowledge:

o Understanding of geriatric healthcare challenges, fall risks, and predictive care strategies.

o Familiarity with Electronic Health Records (EHR), wearable devices, and sensor data.

o Knowledge of healthcare data compliance (e.g., HIPAA, GDPR).

• Soft Skills:

o Strong analytical and problem-solving abilities.

o Excellent communication skills to present findings to non-technical stakeholders.

o A collaborative mindset to work with interdisciplinary teams.

Preferred Qualifications

• Knowledge of biomechanics or human movement analysis.
• Experience with explainable AI (XAI) and interpretable ML models.

What We Offer

• Opportunity to work on cutting-edge healthcare AI solutions that make a meaningful impact on elderly lives.
• Competitive salary and benefits package.
• Flexible work environment, with options for hybrid work.
• Opportunities for professional growth and leadership.
• Collaborative and inclusive culture that values innovation and teamwork.

Job Types: Full-time, Permanent

Pay: ₹352, ₹4,200,000.00 per year

Application Question(s):

• How many years of overall experience do you currently have?
• Do you have experience in the healthcare domain (clinical work-related exposure) ?
• What is your Expected CTC in LPA?

Experience:

• Data science: 7 years (Required)
• Python: 5 years (Required)
• Machine Learning: 6 years (Required)
• Data Analysis: 6 years (Required)
• R Language: 3 years (Preferred)
• TensorFlow: 3 years (Required)
• Pytorch: 3 years (Preferred)
• AWS: 3 years (Preferred)
• Azure: 3 years (Preferred)
• GCP: 3 years (Preferred)
• Artificial Intelligence: 2 years (Preferred)

Work Location: In person