Data Scientist

About the Role: We are a growing logistics company in Ghana seeking a Data Scientist to turn operational data into smarter, faster decisions. In this hybrid role, you will build and deploy machine learning and deep learning models that help optimize how we move goods across the country and beyond. If you are a strong programmer with a passion for solving real-world problems with data, we would love to hear from you. Key Responsibilities: • Design, build, and deploy machine learning and deep learning models to solve logistics and operational challenges • Develop time series forecasting models to predict demand, delivery times, and operational trends • Perform in-depth data analysis to uncover insights, patterns, and opportunities for improvement • Create clear and compelling data visualizations and dashboards for technical and non-technical stakeholders • Clean, transform, and prepare large datasets from multiple sources for analysis and modeling • Write clean, efficient, and well-documented code for data pipelines and model implementation • Collaborate with operations, engineering, and business teams to translate business problems into data-driven solutions • Monitor, evaluate, and continuously improve model performance in production What We're Looking For: • A highly skilled programmer with strong machine learning expertise and hands-on experience building deep learning models • An analytical thinker who approaches problems methodically and backs decisions with data • A strong problem solver who can break down complex challenges and deliver practical solutions • A clear communicator who can present findings through effective visualizations and storytelling What We Offer: • GHS 1,000 base salary • Housing • Health benefits • Car

Required: • Mid-level experience in a data science or related role • Strong programming skills (e.g., Python, R, or similar), with a proven ability to write efficient, production-quality code • Strong hands-on experience with machine learning techniques and frameworks • Experience with deep learning and neural network architectures • Experience with time series analysis and forecasting • Proficiency in data visualization tools and libraries to communicate insights effectively • Strong analytical and problem-solving skills • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field • Ability to work in a hybrid environment and collaborate effectively with cross-functional teams Nice-to-Have: • Master's degree in a quantitative or technical field • Experience working in logistics, supply chain, or transportation • Experience deploying models to production (MLOps) • Familiarity with SQL and working with large datasets • Experience with cloud platforms (e.g., AWS, Azure, GCP) • Experience with deep learning frameworks such as TensorFlow or PyTorch