The Dangote Group is one of the most diversified business conglomerates in Africa with a hard-earned reputation for excellent business practices and products' quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa. The Group's activities encompass: Cement - Manufacturing / Importing Sugar - Manufacturing & Refining Salt - Refining Flour & Semolina - Milling Pasta - Manufacturing Noodles - Manufacturing Poly Products - Manufacturing Logistics - Port Management and Haulage Real Estate Dangote Foundation Since inception, the Group has experienced phenomenal growth on account of quality of its goods and services, its focus on cost leadership and efficiency of its human capital. Today, Dangote Group is a multi-billion Naira company poised to reach new heights, in every endeavour competing with itself to better the past. The Group's core business focus is to provide local, value added products and services that meet the 'basic needs' of the populace. Through the construction and operation of large scale manufacturing facilities in Nigeria and across Africa, the Group is focused on building local manufacturing capacity to generate employment and provide goods for the people.
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.
Method of Application
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