We are seeking a highly motivated Data Science Intern to join our team. You will work with diverse data sources, including clickstream, email receipt, and survey data, to support model development and insights that support major brands and retailers.
Key Responsibilities:
Analyze and preprocess large datasets from multiple sources to extract meaningful insights.
Assist in building techniques and processes to support market measurement.
Collaborate with team members to develop data-driven solutions for business challenges.
Visualize and present analytical findings to stakeholders.
Maintain clear and accurate documentation of data processing and analysis workflows.
Qualifications:
Currently pursuing a Bachelor’s or Master’s degree in a highly analytical STEM field (e.g., Data Science, Computer Science, Mathematics, Statistics, Engineering).
Expected graduation in 2026.
Proficiency in programming, preferably Python.
Hands-on experience with data analysis and databases (e.g., SQL, pandas).
Strong foundation in Statistics
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Preferred Skills:
Experience with data visualization tools (e.g., Matplotlib, Seaborn).
Familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow).
Understanding of data processing and ETL pipelines.
Seniority level
Internship
Employment type
Internship
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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