Data Scientist Intern

Description

This unpaid internship is focused on providing educational and professional development aligned with academic and professional goals. It accommodates academic schedules, offers hands-on training, and complements rather than replaces paid employee work.

Responsibilities

• Data Collection & Automation: Use Selenium to automate data scraping and web interactions. Develop and maintain robust web-scraping pipelines.
• Data Analysis & Processing: Clean, preprocess, and analyze large datasets using Python libraries such as pandas, NumPy, and scikit-learn. Perform exploratory data analysis (EDA) to extract meaningful insights.
• Model Development: Assist in building machine learning models to predict trends and optimize decision-making. Test, validate, and tune models for better performance.
• Collaboration: Work closely with data scientists, engineers, and product teams to understand data needs and deliver actionable insights. Document and present findings effectively to both technical and non-technical stakeholders.

Competencies

• Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field.
• Proficiency in Python, with experience using libraries like pandas, NumPy, and BeautifulSoup.
• Familiarity with Selenium for web automation and data scraping.
• Knowledge of data visualization tools like Matplotlib or Seaborn.
• Basic understanding of machine learning concepts and frameworks.
• Experience with databases (SQL or NoSQL) for storing and retrieving data.
• Knowledge of AWS, GCP, or Azure for deploying solutions.
• Knowledge of data visualization tools like Power BI.
• Familiarity with version control systems like Git.
• Strong analytical and problem-solving skills.