Description

Build predictive models and derive insights from complex datasets to inform business decisions.

This role is on-site.

Responsibilities

• Analyze large, complex datasets to identify trends and correlations using SQL and Python.
• Develop and implement machine learning algorithms to solve business problems and optimize processes.
• Build and train deep learning models for tasks like image recognition and natural language processing.
• Apply NLP techniques to extract actionable insights from unstructured text data.
• Communicate findings to stakeholders through clear data visualizations and reports.

Required Skills

• 10+ years of proven experience as a Data Scientist or in a similar analytical role.
• Expert proficiency in SQL and Python for data manipulation and analysis.
• Hands-on experience with data manipulation libraries including Pandas and NumPy.
• Deep understanding of machine learning techniques, including supervised, unsupervised, regression, and classification models.
• Practical experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of NLP concepts and their application to real-world data.
• Strong analytical and problem-solving skills with the ability to translate business requirements into data solutions.
• Ability to manage multiple projects simultaneously and deliver high-quality results.

Key Skills

Education

Any Graduate