Data Scientist at Drugstoc eHub Limited

About the Role

The Data Scientist will provide advanced analytical insights, predictive models, and data-driven recommendations to support strategic business decisions across Drugstoc eHub Limited. This role is responsible for generating actionable leads, uncovering growth opportunities, optimizing operational performance, and empowering the Business Intelligence team and Data Analysts with deep analytical insights and scalable data solutions.

The ideal candidate has a passion for learning, data, scale, and agility. You will leverage strong collaboration skills and the ability to extract valuable insights from highly complex datasets to ask the right questions and find the right answers.

Key Responsibilities

• Develop predictive models, clustering systems, and machine learning algorithms to identify business opportunities and customer behavior patterns
• Provide actionable insights and lead-generation intelligence to the BI team, Sales, Operations, and Leadership
• Analyze large and complex datasets to identify trends, risks, inefficiencies, and revenue-expansion opportunities
• Collaborate closely with Data Analysts to enhance dashboards, reports, and data pipelines
• Build data products and automated scoring models to improve decision-making
• Conduct exploratory data analysis (EDA) and design experiments for hypothesis testing
• Translate business challenges into data science solutions and provide clear recommendations to stakeholders
• Ensure data quality, integrity, and alignment with company data governance standards
• Prepare periodic analytical reports highlighting key insights, forecasts, and operational risks

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field
• 3–5+ years of experience in data science, machine learning, or advanced analytics
• Health-tech or supply chain experience is a plus