Description

You will own the end-to-end data science lifecycle, from exploratory analysis to deploying machine learning models.

This role is on-site.

Responsibilities

• Perform exploratory data analysis and data wrangling on large datasets.
• Build and deploy machine learning and deep learning models.
• Apply statistical analysis techniques to derive actionable insights.
• Implement solutions using Object-Oriented Programming (OOPs) concepts in Python.

Required Skills

• 3+ years of experience in a data-centric role.
• Strong proficiency in Python, including OOPs and Data Structures & Algorithms (DSA).
• Hands-on experience with SQL for data querying.
• Working knowledge of statistical essentials and data manipulation using Pandas.
• Experience with core ML/DL frameworks: SciKit-learn, TensorFlow, or PyTorch.
• Familiarity with Deep Learning (DL) and Machine Learning (ML) concepts.
• Ability to apply list comprehensions and fundamental Python data structures.

Preferred Skills

• Experience with complex data wrangling on large-scale datasets.
• Strong background in statistical modeling.

Key Skills

Education

Any Graduate