Discover opportunities for product development and process optimization from large datasets using Data Science techniques. Build, test, and deploy models. Create data initiative roadmaps from company strategies.
- Minimum Qualification:HND
- Experience Level:Mid level
- Experience Length:3 years
- You will lead the analysis and insights generation process across the organization’s most important products and initiatives.
- You will be required to teach and train people
- You’ll perform data analysis, modeling, and hypothesis testing, A/B testing to steer the organization’s decision-making.
- Use data and insights to drive action from stakeholders.
- You’ll discover insights from the data and propose solutions to fix them or devise experiments to understand the issues better.
- You’ll contribute to the work of the data & product teams to better understand the user and product experiences, and use data to improve them.
- You’ll work with the business intelligence team to determine useful metrics that need to be tracked, and help to create stunning visualizations to disseminate the trends in the data
- A minimum of 2 years of experience in a similar data science role is an advantage
- Minimum bachelor's degree in quantitative fields such as statistics, mathematics, computer science, physics, and engineering.
- Demonstrated ability to perform detailed data analysis and guide strategy with findings.
- Advanced proficiency in at least one of the following: Python, R, SPSS -Advanced proficiency in Excel is a given.
- The ability to train and teach people is highly desirable
- Advanced knowledge of statistical and machine learning techniques (regression, decision trees, clustering, neural networks, etc.)
- Some hands-on experience with writing SQL.
- Strong people skills, team orientation, and a professional attitude
- Excellent problem-solving and decision-making skills.
- A high level of commercial awareness is highly desirable.
Why work with us?
- We have an inspiring work environment and work culture.
- Work on exciting projects with a young and talented team
Working Location: The office is located in Ibadan (OnSite).
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