Data Scientist

About the Role: We are seeking a Data Scientist to join our growing team at a leading logistics company. In this role, you will turn complex operational data into actionable insights and build machine learning solutions that help us move goods more efficiently. You will work in a hybrid environment, collaborating with teams across the business to drive data-informed decisions. Key Responsibilities: • Perform data analysis on large, complex logistics and operational datasets to uncover trends, patterns, and opportunities for improvement • Design, build, and deploy machine learning models to support business objectives • Clean, transform, and prepare data from multiple sources for analysis and modeling • Evaluate model performance and continuously refine models to improve accuracy and reliability • Translate analytical findings into clear insights, reports, and visualizations for technical and non-technical stakeholders • Collaborate with cross-functional teams to identify business problems and develop data-driven solutions • Document methodologies, processes, and results to support knowledge sharing and reproducibility What We're Looking For: • A mid-level data professional with hands-on experience in data analysis and machine learning • Strong programming skills and the ability to write clean, efficient code for data work • Excellent analytical skills with a talent for solving problems and interpreting data • A clear communicator who can explain technical findings to varied audiences • A collaborative team player who is comfortable working in a hybrid setup What We Offer: • Salary of 10,000 GHS

Required: • Mid-level experience in a data science or data analysis role • Proficiency in programming for data analysis and machine learning • Strong analytical skills, with the ability to interpret data and draw meaningful conclusions • Hands-on experience with data analysis and building machine learning models • Strong communication skills, with the ability to present findings to technical and non-technical audiences • Ability to work independently and collaboratively in a hybrid work environment Nice-to-Have: • Experience working with logistics, supply chain, or transportation data • Familiarity with data visualization tools and techniques • Experience deploying machine learning models into production • Bachelor's degree or higher in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline