Data Scientist at Dangote

Job Summary

We are seeking a skilled Data Scientist to analyse complex datasets, build predictive models, and deliver data-driven insights to solve business challenges. The ideal candidate will leverage machine learning techniques, data visualisation tools, and analytical expertise to support strategic decision-making and improve organisational outcomes.

Responsibilities

• Identify and assess valuable data sources, automating data collection processes for efficiency.
• Pre-process structured and unstructured data to ensure quality and usability for analysis.
• Analyse large datasets to uncover trends, patterns, and actionable insights.
• Develop and implement predictive models and machine-learning algorithms to address business needs.
• Combine multiple models through ensemble techniques to enhance prediction accuracy.
• Create and present data-driven insights using advanced data visualisation techniques.
• Develop and propose innovative solutions and strategies to tackle business challenges.
• Collaborate closely with engineering and product development teams to integrate data-driven solutions into operations.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience as a Data Scientist or Data Analyst with a track record of successful projects.
• Strong understanding of machine learning and operations research.
• Proficiency in programming languages such as R, SQL, and Python; familiarity with Scala, Java, or C++ is a plus.
• Hands-on experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
• Solid math skills, including statistics and algebra.
• Strong problem-solving abilities and a detail-oriented mindset.
• Analytical thinking combined with a strong business acumen.
• Onsite availability is required.

Benefits

• Private Health Insurance.
• Paid Time Off.
• Opportunities for Professional Growth and Career Advancement.
• Training and Development Programs.
• Competitive Salary.
• Collaborative and Supportive Work Environment.