Reliance Health uses Technology to Make Healthcare Accessible and Affordable. Through an integrated approach that includes affordable health insurance, telemedicine, and a combination of partner and proprietary healthcare facilities, Reliance Health offers innovative healthcare solutions that meet the needs of emerging markets.
We are recruiting to fill the position below:
Job Title: Data Scientist
Location: Remote
Description
- We are hiring a Senior Data Scientist to lead the transformation of complex datasets into actionable insights that drive strategic business outcomes.
- The role involves designing and deploying advanced machine learning models, performing statistical analysis, and creating clear, impactful data stories for both technical and non-technical stakeholders.
- The ideal candidate is highly analytical, curious, and collaborative, with experience in end-to-end data science project delivery, including model deployment, experimentation, and evaluation.
As a Data Scientist, you will do the following:
- Lead end-to-end data science projects, from data collection and preprocessing to model deployment and delivery
- Design, implement, and maintain advanced ML models, including regression, clustering, anomaly detection, and NLP applications
- Write optimized SQL queries to extract, manipulate, and analyze large datasets
- Translate complex data insights into actionable recommendations for technical and non-technical stakeholders
- Collaborate with cross-functional teams to define data requirements and implement scalable analytical solutions
- Monitor model performance, conduct A/B tests, and implement improvements to maintain accuracy and reliability
- Document methodologies, workflows, and data dictionaries to ensure reproducibility and knowledge sharing
- Mentor and guide junior data scientists, promoting best practices and technical excellence
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields
- 4-5 years of experience in data science, analytics, or ML roles, including production-level model deployment
- Expertise in at least two areas of data science, managing projects end-to-end from technical implementation to stakeholder delivery
- Strong proficiency in Python or R for data manipulation, ML modeling, and NLP
- Expert-level SQL skills for large-scale data querying and analysis
- Experience with regression, clustering, anomaly detection, NLP, and conducting experiments/A-B tests
- Skilled in ML frameworks (scikit-learn, TensorFlow, PyTorch) and visualization tools (Tableau, Power BI, matplotlib, seaborn)
- Solid understanding of statistics, hypothesis testing, and experimental design
- Strong communication and collaboration skills to influence technical and non-technical stakeholders
- Proven ability to mentor junior staff and lead projects that deliver measurable business impact.
Application Closing Date
Not Specified.
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