PROFORCE LIMITED was incorporated in 2008 as a total defence solution provider specialized in armoured vehicles and personal protection. The company’s focus is on the delivery of confidence in protective mobility. We have developed a vibrant market for security and mobile protective products within Nigeria and Africa. PROFORCE has exploited its deep technical know-how to produce outstanding armored products for Government Agencies, Corporate Bodies, Diplomatic Communities and the Private Sector within Nigeria and Africa.
Job Summary
- We are seeking an experienced Data Scientist to join our team and drive data-driven insights and solutions.
Job Description
- Data Analysis: Perform exploratory data analysis to gain insights and identify patterns.
- Model Development: Design and develop machine learning models to address specific business challenges such as customer segmentation, predictive maintenance, and fraud detection.
- Model Optimization: Tune and optimize models for performance and scalability.
- Deep Learning: Build deep learning models using frameworks like Matlab, TensorFlow, or PyTorch for tasks such as image recognition, natural language processing, and time series analysis.
- Model Evaluation: Evaluate model performance using appropriate metrics and refine models as necessary.
- Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 2-3 years of experience as a data scientist or in related roles.
- Proven experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of big data platforms.
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Familiarity with SQL and NoSQL databases.
- Knowledge of statistical analysis and data mining techniques.
- Strong communication and teamwork skills.
Note: Only successful applicants will be contacted.
Method of application
Meet the Qualifications? Email your CV and a cover letter to: [email protected], [email protected] using “Application for Data Scientist Role” as the subject.