Data Scientist

September 5

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Logo of Reliance Health

Reliance Health

Healthcare Insurance • Telecommunications • Wellness

Reliance Health is a company dedicated to reimagining employee healthcare by providing innovative health benefits suited for businesses in emerging markets. They offer a comprehensive range of health plans tailored to fit businesses of any size, covering proactive treatments, neonatal care, emergencies, and chronic conditions. Through their mobile app, plan members can access telemedicine, virtual doctor appointments, and prescription deliveries, ensuring a convenient and efficient healthcare experience. Reliance Health collaborates with over 3,800 health and wellness partners globally to deliver high-quality clinical services that meet international standards.

201 - 500 employees

Founded 2016

⚕️ Healthcare Insurance

📡 Telecommunications

🧘 Wellness

💰 $40M Series B on 2022-02

📋 Description

• Transform complex datasets into actionable insights to drive strategic business outcomes. • 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

• Remote-First Environment • Competitive Salary and Benefits • Premium Health Insurance • Unlimited Leave • Meaningful Impact • Collaborative Work Culture • Growth Opportunities • Learning & Development Allowance

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