Data Scientist (Machine Learning Engineer)
Kenkeputa
Engineering & Technology
Job Summary
We are looking for a talented and innovative Data Scientist to join our ambitious tech startup in Nigeria. The ideal candidate will have a passion for data-driven decision-making and a track record of leveraging data to drive business growth. This is an exciting opportunity to make a significant impact on our company's success from day one. Kenkeputa aims to be the world leader of advanced engineering and technology. With advanced capacity in Artificial Intelligence, Engineering, and Technology, the company aims to advance the African economy through value creation in the fields by leveraging the continent’s abundant talent.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 2 years
Job Description/Requirements
Responsibilities
- Collaborate with cross-functional teams to identify business opportunities and challenges that can be addressed with data-driven solutions.
- Collect, clean, and analyze large datasets to extract actionable insights and drive strategic decision-making.
- Develop predictive models and algorithms to forecast business outcomes and optimize processes.
- Design and implement experiments to test hypotheses and validate model performance.
- Communicate findings and insights to stakeholders through data visualization, reports, and presentations.
- Deploy models in production environment.
- Continuously monitor and evaluate model performance, making improvements as needed.
- Stay updated with the latest developments in data science, machine learning, and artificial intelligence.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience as a Data Scientist or similar role, preferably in a startup environment.
- Strong proficiency in programming languages such as Python or R.
- Proficiency in scikit-learn.
- Proficiency in data manipulation libraries such as pandas.
- Knowledge of machine learning model development in keras, tensorflow or pytorch.
- Proficiency in SQL
- Solid understanding of statistical analysis, machine learning techniques, and algorithms.
- Experience working with large datasets and databases.
- Proficiency in data visualization tools such as Tableau, matplotlib or Power BI
- Excellent problem-solving and analytical skills.
- Ability to work independently and in a team environment.
- Strong communication and presentation skills.
Preferred Qualifications
- Age <= 25 years old.
- Completion of National Youth Service Corps (NYSC) program.
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