Data Scientist at Reliance HMO

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 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