Description

You will build and implement complex analytical models to solve business problems.

Responsibilities

• Code and test customized analytical models of medium to high complexity.
• Gather, interpret, and manipulate structured and unstructured data for analytical solutions.
• Select appropriate modeling techniques based on data limitations and business needs.
• Develop, implement, and monitor machine learning workflows.

Required Skills

• 5+ years of experience in Data Science or a related field.
• Extensive experience with Python and its data science packages (numPy, SciPy, SciKit-learn).
• Proven experience developing models using Regression, Decision trees, Random Forest, Logistic regression, SVM, and Gradient boosting algorithms.
• Hands-on experience building and implementing Timeseries and forecasting models.
• Experience developing Deep Learning models using TensorFlow, Keras, or PyTorch.
• Proficiency in SQL and R.
• Knowledge of ML workflow implementation, governance, and monitoring.
• Operational knowledge of Elasticsearch and ability to construct GUI interfaces.

Key Skills

Education

Any Graduate