Ti Steps needs someone who can actually make data talk. This isn’t just theory. For this Junior Data Scientist role in India, you’ll dive straight into cleaning and preprocessing raw data, moving quickly to exploratory analysis and feature engineering. Your core responsibility involves building and evaluating various machine learning models – everything from regression and classification to clustering techniques – then interpreting their outputs and effectively communicating findings to cross-functional teams. Collaboration is key. You’ll also document methodologies to maintain reproducible code, a crucial step for real-world deployment.
They expect strong Python skills, especially with NumPy, Pandas, and Scikit-learn, alongside solid SQL for data wrangling. Jupyter Notebooks are a must-have. Basic exposure to TensorFlow or PyTorch helps, and an understanding of statistics and probability is foundational. Visualization skills are important too. Qualifications include a Bachelors or Masters in Data Science, Computer Science, Statistics, or a related field. Show your capabilities through coursework, internships, or personal projects. This isn’t an academic exercise; it’s a real-world entry point. Still, prepare to hit the ground running; they value pragmatic problem solvers over abstract thinkers.