Data Scientist (Remote) at Reliance Health

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. 

How to Apply
Interested and qualified candidates should:
Click here to apply online