SENIOR DATA SCIENTIST AT RELIANCE HEALTH

About Company:

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 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.

Responsibilities
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 field.
• Minimum 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.

Benefits
At Reliance Health, we prioritize our people and their well-being. Our benefits package is designed to support your success, growth, and happiness. Here’s what you’ll enjoy:

• Remote-First Environment: Work from anywhere while staying connected to a vibrant, collaborative team.
• Competitive Salary and Benefits: We offer a salary that’s benchmarked against the best in the industry, ensuring your expertise and impact are fully rewarded.
• Premium Health Insurance: Comprehensive health coverage for you and your family, because your well-being comes first.
• Unlimited Leave: Take the time you need when you need it—no limits, no questions.
• Meaningful Impact: Play a key role in transforming customer experiences and shaping healthcare innovation.
• Collaborative Work Culture: Join a supportive, inclusive, and team-focused environment that celebrates diversity.
• Growth Opportunities: Access tools, mentorship, and resources to elevate your skills and career.
• Learning & Development Allowance: We provide an allowance to support your ongoing professional growth and skill enhancement.

Salary

Application Closing Date: Not specified

Application Instructions:

CLICK ON THE LINK BELOW TO APPLY