Junior Data Scientist

Role overview

This position is for a Junior Data Scientist based in the United States. The role is focused on turning raw data into useful business insight, building analytic support for predictive work, and collaborating with different teams to solve business problems through data.

What you will do

• Gather data from multiple structured and unstructured sources, then prepare it by cleaning and transforming it for analysis.
• Study large datasets to uncover meaningful patterns, trends, and actionable insights.
• Contribute to the creation and testing of predictive models and machine learning methods.
• Create clear visualizations with tools such as Power BI, Tableau, Matplotlib, or Seaborn.
• Help build and improve data pipelines and workflow processes.
• Partner with cross-functional stakeholders to turn business needs into data-backed solutions.
• Keep code, documentation, and analytical findings organized, accurate, and easy to understand.
• Continuously follow new developments, tools, and techniques in data science and analytics.

Qualifications

• A bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a closely related discipline.
• Strong reasoning ability and a solid approach to problem-solving.
• Working knowledge of Python or R for analysis and modeling tasks.
• Exposure to data libraries such as Pandas and NumPy, along with basic machine learning tools like scikit-learn or TensorFlow.
• Foundational understanding of statistics, probability, and data modeling.
• Hands-on experience using SQL and interacting with databases.
• Ability to communicate clearly and explain technical results to non-technical audiences.
• Open to fresh graduates who bring strong technical skills and relevant project work.

Additional information

No salary or stipend details were provided for this role.

No specific number of openings, start date, or application deadline was mentioned.