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Job Description
Data Scientist
Technical Skills and Tools Requirements:
- Python
- NumPy, Pandas, Matplotlib, TensorFlow/Py torch
- K-Nearest Neighbours, Naïve Bayes, SVM, Decision tree, XGBoost
- ETL, SQL OLAP
Roles & Responsibilities:
- Solve problems using Machine Learning and Deep Learning algorithms in domains such as e-commerce, Edutech, and retail.
- Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.
- Generate new practices and processes for effective ML engineering, in alignment with core subject-matter expertise.
- Define best practices for code optimization, model and system validation, and model governance.
Desirable Skills:
- Big Data experience in driving real time analytics.
- Experience in one or multiple Data Science Platforms such as Data bricks, AzureML, Sage maker
- Experience in Teradata, Hadoop
- Knowledge of MLOps platform will be an added advantage.
Other Skills:
- Experience in analyzing data, understanding trends and pattern, feature engineering.
- Build Data Pipelines & platform to operationalize Machine Learning models at scale.
- Proven problem-solving skills.