Data Science Trainer

Job Description

Job Summary: We are looking for a highly motivated and analytical Data Science trainer to join our team. Key Responsibilities: Collect, clean, and pre-process structured and unstructured data from multiple sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Build, evaluate, and deploy machine learning models for predictive and prescriptive analytics. Present findings through data visualizations, reports, and presentations to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to define and solve real-world problems. Stay up-to-date with the latest industry trends, tools, and techniques in data science and machine learning. Required Skills: Strong programming skills in Python (preferred) or R. Solid understanding of statistics, probability, and machine learning algorithms. Experience with data manipulation tools (Pandas, NumPy) and data visualization libraries (Matplotlib, Seaborn, Plotly). Proficiency in SQL and working with relational databases. Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras). Experience with version control tools (e.g., Git).