Data Scientist (mid-level)
Job Overview
Location
Remote
Salary
NGN 1,000,000 monthly
Employment Type
Full-time
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Mid-level (3-5 years)
Application Deadline
May 7, 2026
About the Company
Job Description
Revent Technologies is actively seeking a skilled Data Scientist to join our innovative team.
In this role, you will be instrumental in transforming complex data into strategic business decisions. Your expertise will be crucial in developing predictive models that directly contribute to business growth and operational efficiency.
Key responsibilities include analyzing data, building robust models, and presenting findings to stakeholders. You will work with a dynamic team to solve real-world business challenges using data-driven approaches.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Turn data into decisions
- Build models that drive business growth
- Solve real business problems with data
Qualifications
- 3-4 Years Experience
- Python (Pandas, NumPy, Scikit-learn)
- Strong SQL
- Machine Learning + Statistics
- Data Visualization (Power BI/Tableau)
- Experience solving real business problems with data
How to Apply
Interested candidates should send their CV to careershub@reventtechnologies.com
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Join Our Communities
In the rapidly evolving field of data science, the demand for skilled professionals is surging globally, with significant growth projected in Nigeria's tech ecosystem. This role is pivotal in transforming raw data into actionable insights, developing sophisticated predictive models, and driving tangible business growth through data-driven strategies. Key technical proficiencies include advanced Python libraries like Pandas and Scikit-learn, robust SQL querying, machine learning algorithms, statistical analysis, and proficiency in data visualization tools such as Power BI and Tableau. The impact of this position extends to enhancing business intelligence, optimizing operational efficiency, and directly contributing to revenue generation and market competitiveness.
Posted Date
April 22, 2026
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