Junior Data Scientist at Capgemini
Interview Preparation Plan
A Junior Data Scientist at Capgemini is expected to support senior data scientists in various projects. This role involves data collection, cleaning, analysis, and the development of machine learning models. The junior data scientist will work with diverse datasets to extract insights, build predictive models, and contribute to data-driven solutions for clients across various industries. This position requires a blend of technical skills in programming, statistics, and machine learning, alongside strong problem-solving and communication abilities. The role often involves collaborating with cross-functional teams, including business analysts, data engineers, and domain experts. The junior data scientist will play a part in the entire data science lifecycle, from understanding business requirements to deploying and monitoring models. Continuous learning and staying updated with the latest advancements in data science and AI are crucial for success in this role at a global technology consulting firm like Capgemini.
Key Responsibilities
- Collect, clean, and preprocess data from various sources.
- Perform exploratory data analysis to identify trends and patterns.
- Develop, train, and evaluate machine learning models.
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