DATA SCIENTIST AT DRUGSTOC E-HUB LIMITED

About Company:

DrugStoc is a tech-enabled pharmaceutical access and distribution platform that connects manufacturers of pharmaceutical products to health care providers in sub-Saharan Africa. Founded in 2015, Our clients are hospitals, pharmacies, clinics, and nursing homes. We are an omnichannel platform that removes any barrier for Licensed health workers to find and purchase genuine medication at the right price for their patients.

Job Description:

• 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 DrugStoc’s data governance standards.
• Prepare periodic analytical reports highlighting key insights, forecasts, and operational risks.

Requirements:

• Strong proficiency in Python or R (pandas, scikit-learn, NumPy, TensorFlow/PyTorch).
• Strong SQL skills and experience working with large datasets.
• Experience building predictive models, statistical analysis, and data visualization.
• Familiarity with BI tools (Power BI, Tableau, Looker) and collaborative work with Data Analysts.
• Excellent analytical thinking, problem-solving, and communication skills.
• Ability to translate complex data findings into simple, actionable insights for business teams.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• 3 - 5+ years experience in data science, machine learning, or advanced analytics (health-tech or supply chain experience is an added advantage).

Salary

Application Closing Date: Not specified

Application Instructions:

Interested and qualified candidates should send their CV to: careers@drugstoc.com using the Job Title as the subject of the email.