Senior Data Scientist
Company Description
KinSure is an AI-powered healthcare platform focused on helping individuals and families manage their health more effectively.
The company builds solutions for preventive care, family health management, digital health records, remote health monitoring, wearable health integration, and AI-driven healthcare assistance.
By combining advanced technology with a patient-centric approach, KinSure empowers people to make informed health decisions and improve overall well-being.
The team is committed to creating a smarter, more connected healthcare ecosystem where families stay informed and supported throughout their healthcare journey.
Role Description
As a Senior Data Scientist at KinSure, you will design, develop, and deploy advanced data science and analytics solutions that power our healthcare platform.
You will work on end-to-end data science workflows including data collection, data exploration, feature engineering, statistical modeling, predictive analytics, machine learning model development, evaluation, and deployment.
You will collaborate with product, engineering, healthcare, and business stakeholders to transform healthcare data into actionable insights and intelligent solutions.
The role involves conducting research, leading analytical initiatives, mentoring junior team members, contributing to technical roadmaps, and ensuring that data-driven systems are robust, secure, scalable, and aligned with healthcare standards.
This is a Full-Time, Remote position.
Experience Required
- 10+ years of experience in Data Science, Machine Learning, Statistics, Analytics, or related fields
- Proven experience building, deploying, and maintaining production-grade data science solutions
- Experience leading data science projects and innovation initiatives
- Strong experience in predictive modeling, statistical analysis, and machine learning
- Experience mentoring Data Scientists, Analysts, and technical teams
Key Responsibilities
- Lead Data Science and Analytics initiatives
- Build predictive models and healthcare intelligence systems
- Analyze large-scale healthcare, wearable, and biomedical datasets
- Design and implement statistical models and machine learning solutions
- Develop data pipelines and analytical frameworks
- Generate actionable insights from structured and unstructured data
- Collaborate with product, engineering, and healthcare teams
- Mentor junior team members and provide technical leadership
- Stay updated with emerging Data Science and AI technologies
- Ensure data quality, security, and compliance with healthcare standards
Required Qualifications
- Strong foundation in Computer Science, Statistics, Mathematics, and Data Science
- Expertise in Statistical Modeling, Hypothesis Testing, Experimental Design, and Data Analysis
- Strong understanding of Machine Learning, Predictive Analytics, and Time-Series Analysis
- Demonstrated experience in research, analytics, and data-driven problem solving
- Hands-on experience with Python, SQL, and modern Data Science tools
- Strong communication and stakeholder management skills
Technical Expertise
The ideal candidate should possess strong expertise in:
- Data Science
- Machine Learning
- Statistics
- Predictive Analytics
- Python
- SQL
- Data Analytics
- Statistical Modeling
- Time-Series Analysis
- Data Visualization
- Power BI
- Tableau
- Scikit-Learn
- TensorFlow
- PyTorch
- MLOps
- Big Data Technologies
- Cloud Platforms (AWS, Azure, GCP)
- Healthcare Analytics
Preferred Qualifications
- Experience working with Healthcare, Biomedical, Clinical, EHR, or Wearable Health Data
- Experience building production-grade analytics and machine learning systems
- PhD in Data Science, Statistics, Computer Science, Mathematics, Biomedical Informatics, or related field
- Master's Degree with significant industry experience will also be considered
- Research publications, patents, or notable data science contributions are a plus
Location
Remote (India)
Employment Type
Full-Time
Workplace Type
Remote
Apply
[email protected]
KinSure
Building the Intelligent Health Operating System for Individuals & Families
Benefits:
Work Location: Remote
