Data Science Analyst

2 weeks ago

thoothukudi, India beBeeData Full time

About Data Science Internship OpportunitiesGain hands-on experience working with large datasets, applying machine learning techniques, and building data-driven insights to support business and product decisions.We are looking for a motivated and curious intern who can collect, clean, and analyze structured and unstructured datasets.You will work closely with experienced data scientists, engineers, and business stakeholders to define data problems and propose solutions.Create data visualizations and dashboards to communicate insights effectively.Key Responsibilities:Collect, clean, and analyze structured and unstructured datasets.Support the development of machine learning models and perform model evaluation.Create data visualizations and dashboards to communicate insights effectively.Collaborate with cross-functional teams (engineering, product, business) to define data problems and propose solutions.Assist in designing experiments (A/B testing) and analyzing results.What You Bring:Currently pursuing a Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.Strong knowledge of Python (pandas, NumPy, scikit-learn) or R for data analysis.Familiarity with SQL for data querying.Understanding of statistics, probability, and machine learning fundamentals.Benefits of this role include the opportunity to gain hands-on experience, develop new skills, and contribute to the success of our organization. As a data science intern, you will have the chance to work on real-world projects, collaborate with experienced professionals, and learn from their expertise. This internship is an excellent way to launch your career in data science, and we encourage all qualified candidates to apply.Required Qualifications:Education: Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.Skills:Programming languages: Python (pandas, NumPy, scikit-learn) or R for data analysis.Data querying: Familiarity with SQL.Machine learning: Understanding of statistics, probability, and machine learning fundamentals.

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