About the Role:
We are seeking passionate and driven Data Science Interns to join our team for a 3-month internship. This role is an excellent opportunity for those looking to gain hands-on experience in the fields of Machine Learning (ML) and Natural Language Processing (NLP). You will work on real-world e-commerce problem statements, such as building recommendation systems, enhancing search engines, optimizing inventory management, personalizing customer experiences. Interns who demonstrate exceptional performance during the internship will be considered for a full-time position.
Key Responsibilities:
-Build and deploy machine learning models to solve real-world business problems. ● Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets. Perform exploratory data analysis (EDA) to identify trends and patterns in the data.
-Develop and test machine learning algorithms using Python, R, or other programming languages.
-Present findings and insights to team members and stakeholders through reports, visualizations, and presentations.
-Stay updated on the latest trends and advancements in data science, ML, and NLP. Required
Skills and Qualifications:
-Pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field.
-Strong foundation in machine learning algorithms and techniques. ● Familiarity with NLP concepts, techniques, and tools.
-Proficiency in programming languages such as Python or R.
-Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
-Knowledge of data visualization tools (e.g., Matplotlib, Seaborn) to communicate insights effectively.
-Basic understanding of SQL for data querying.
-Strong analytical and problem-solving skills.
-Ability to work collaboratively in a team environment. What We Offer
-Hands-on experience working on real-world data science projects.
-A dynamic and collaborative work environment.
-Solve cutting-edge ecommerce problem statements
-Potential for a full-time role based on performance during the internship.
To apply, please submit your resume and a brief cover letter explaining your interest in the internship and your experience with data science and ML/NLP. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
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