Data Science Intern

Job Description

Job Title: Intern (DS) Job Overview: As a Data Science Intern, you will collaborate with experienced data scientists to analyze temporal data and develop machine learning models. Your contributions will play a vital role in our data-driven decision-making processes. Role and Responsibilities: Assist in collecting, cleaning, and preprocessing time series data for analysis. Conduct exploratory data analysis to identify trends, patterns, and seasonality in datasets. Develop and implement machine learning models for time series forecasting. Collaborate with team members to evaluate model performance and refine algorithms. Document methodologies, findings, and insights for internal knowledge sharing. Create visualizations and reports to effectively communicate results to stakeholders. Stay updated on best practices and emerging trends in machine learning and time series analysis. Qualifications: Completed bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with machine learning concepts and techniques, particularly in time series analysis. Proficiency in programming languages such as Python or R, along with libraries like Pandas, NumPy. Understanding of statistical methods and time series forecasting techniques. Strong analytical and problem-solving skills with attention to detail. Good communication skills to present complex findings clearly and effective.