Junior Data Scientist

Position: Junior Data Scientist

Location: Boston, MA

Experience: 0-2 Years

Employment Type: Full-Time

Work Mode: Remote (Work From Home)

We provide structured training, real-time project exposure, interview preparation, and continuous support to help you grow successfully in your

career.

Role Overview

We are looking for recent graduates or early-career professionals with 0-2 years of experience to join our Data Science team. The ideal candidate will assist in analyzing large datasets, building predictive models, and generating actionable insights to support business decisions. This role is an excellent opportunity for candidates who want to build practical experience in Data Science, Machine Learning, Artificial Intelligence, and Cloud technologies.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured data.
• Analyze large datasets to identify trends, patterns, and business insights.
• Develop and implement Machine Learning models for predictive analytics.
• Perform statistical analysis using Python and SQL.
• Build data visualizations and dashboards using Tableau or Power BI.
• Work with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Collaborate with Data Engineers, Business Analysts, and Software Engineers.
• Evaluate model performance and optimize algorithms.
• Create technical documentation and present findings to stakeholders.
• Ensure data quality, security, and governance best practices.
• Stay updated with the latest Data Science and AI technologies.

Required Skills & Qualifications

• 0-2 years of experience or knowledge in Data Science or Machine Learning.
• Strong knowledge of Python and SQL.
• Basic understanding of Statistics and Probability.
• Familiarity with Machine Learning algorithms.
• Knowledge of Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools such as Tableau or Power BI.
• Basic understanding of AWS, Azure, or GCP cloud platforms.
• Familiarity with Git, Jupyter Notebook, and Linux.
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently and collaboratively in a remote work environment.