Data Scientist (Machine Learning Engineer)

ResponsibilitiesCollaborate 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.RequirementsBachelor'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 SQLSolid 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 BIExcellent problem-solving and analytical skills.Ability to work independently and in a team environment.Strong communication and presentation skills.Preferred QualificationsAge <= 25 years old.Completion of National Youth Service Corps (NYSC) program.