As a Junior Data Scientist, you will work on a variety of data-driven projects, assisting in data analysis, data modeling, and algorithm development. You will collaborate with senior team members and stakeholders to deliver insights that inform business decisions.
Responsibilities
Collect, clean, and preprocess data from various sources.
Should be able to work independently and take responsibilities
Assist in the development and implementation of statistical models and machine learning algorithms.
Conduct exploratory data analysis to identify patterns and trends.
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Create data visualizations and dashboards to communicate insights to stakeholders.
Participate in code reviews and adhere to best practices in data science.
Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience in data science, data analysis, or a related role.
Proficiency in programming languages such as Python.
Experience with data analysis libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn), Deep learning.
Should have idea of LLMs and GenAI models.
Knowledge of data visualization tools like Matplotlib, Seaborn.
Understanding of basic statistical methods and data modeling techniques.
Excellent communication skills and the ability to work collaboratively in a team environment and clients.
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