Job Description

Work with data teams to collect, clean, and prepare large datasets for analysis. Apply machine learning techniques to build predictive models and algorithms. Conduct exploratory data analysis (EDA) and create data visualizations to communicate insights. Support the implementation of models into production environments. Collaborate with stakeholders to understand business needs and provide data-backed solutions. Participate in research and development of new methods and tools for analyzing data. What you should have : Pursuing a degree in Data Science, Computer Science, Mathematics, or a related field. Experience with Python (including libraries like Pandas, Matplotlib, and Seaborn). Familiarity with machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch). Proficient in SQL and data extraction. Strong analytical and problem-solving skills. Ability to work in a fast-paced environment and manage multiple tasks. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.