Data Scientist
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Assist in the design and development of machine learning models to solve business problems. Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling. Collaborate with team members to analyze data, identify patterns, and extract insights.
Support the evaluation and improvement of existing models using appropriate metrics and techniques. Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes. Stay current with industry tools and best practices in machine learning and data analysis. 1-3 years of hands-on experience with machine learning or data analysis projects (academic or industry).
Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib). Solid understanding of machine learning fundamentals, model evaluation, and data preprocessing.
Good problem-solving skills and a willingness to learn new tools and techniques.
Assist in the design and development of machine learning models to solve business problems. Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling. Collaborate with team members to analyze data, identify patterns, and extract insights.
Support the evaluation and improvement of existing models using appropriate metrics and techniques. Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes. Stay current with industry tools and best practices in machine learning and data analysis. 1-3 years of hands-on experience with machine learning or data analysis projects (academic or industry).
Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib). Solid understanding of machine learning fundamentals, model evaluation, and data preprocessing.
Good problem-solving skills and a willingness to learn new tools and techniques.
Bachelor of Technology (B.tech)