- Assist in collecting, cleaning, and preprocessing data from various sources to ensure data quality and integrity.
- Perform exploratory data analysis to uncover insights and trends that inform business decisions.
- Support the development and implementation of machine learning algorithms and predictive models.
- Collaborate with cross-functional teams to understand project requirements.
- Assist in the creation of data visualizations and reports to communicate findings to stakeholders.
- Stay updated on the latest advancements and best practices in data science and contribute innovative ideas to ongoing projects.
Requirements:
- Pursuing/Completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of machine learning algorithms and techniques.
- Strong proficiency in programming languages such as Python or R.
- Familiarity with data manipulation and analysis libraries/packages (e.g., Pandas, NumPy, Scipy).
- Strong understanding of statistical concepts and techniques.
- Ability to work in a dynamic and fast paced team environment.
Preferred Qualifications:
- Knowledge of SQL or other database querying languages.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with Gen AI technologies is a plus
