Posted Apr 27, 2026
As a Data Scientist Intern, you will play a crucial role in collecting, cleaning, and preprocessing large datasets. Your primary responsibilities will involve conducting exploratory data analysis to identify trends, developing and testing machine learning models, visualizing insights, and collaborating effectively with teams. Your key skills will include proficiency in Python/R, SQL, and strong analytical abilities. Key Responsibilities:
Data Preprocessing: You will be responsible for cleaning and organizing raw data to ensure its suitability for analysis. - Data Analysis & Visualization: Conduct exploratory data analysis (EDA) and create dashboards/reports to effectively communicate insights derived from the data. - Modeling & Prototyping: Contribute to the development and testing of predictive models, including machine learning algorithms. - Collaboration: Work closely with cross-functional teams to address business problems and enhance product offerings. - Documentation: Ensure thorough documentation of procedures and findings for future reference. Qualifications Required:
Proficiency in Python/R, SQL
Strong analytical abilities Note: The company offers part-time and permanent job types with a flexible schedule. Food is provided, paid sick time is available, and the work location is in person. As a Data Scientist Intern, you will play a crucial role in collecting, cleaning, and preprocessing large datasets. Your primary responsibilities will involve conducting exploratory data analysis to identify trends, developing and testing machine learning models, visualizing insights, and collaborating effectively with teams. Your key skills will include proficiency in Python/R, SQL, and strong analytical abilities. Key Responsibilities:
Data Preprocessing: You will be responsible for cleaning and organizing raw data to ensure its suitability for analysis. - Data Analysis & Visualization: Conduct exploratory data analysis (EDA) and create dashboards/reports to effectively communicate insights derived from the data. - Modeling & Prototyping: Contribute to the development and testing of predictive models, including machine learning algorithms. - Collaboration: Work closely with cross-functional teams to address business problems and enhance product offerings. - Documentation: Ensure thorough documentation of procedures and findings for future reference. Qualifications Required:
Proficiency in Python/R, SQL
Strong analytical abilities Note: The company offers part-time and permanent job types with a flexible schedule. Food is provided, paid sick time is available, and the work location is in person.
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