Description

You will apply data science knowledge to solve accuracy and performance issues in machine and deep learning models.

Responsibilities

• Translate business problems into data science models by analyzing feasibility, data availability, and solution scalability.
• Evaluate, propose, design, and implement data science solutions to meet business requirements.
• Develop and manage advanced statistical, predictive, and machine learning models for stakeholders.
• Apply NLP techniques for text representation, sentence classification, and semantic extraction.
• Design software architecture and implement new data science techniques to innovate processes.

Required Skills

• 5+ years of experience in data science roles.
• Hands-on experience with NLP techniques and models.
• Proficiency in text representation, sentence classification, and semantic extraction.
• Deep understanding of text representation techniques including n-grams, bag of words, and sentiment analysis.
• Strong knowledge of statistics and classification algorithms.
• Experience with data structures and modeling.
• Ability to design software architecture.
• Any Graduate degree.

Key Skills

Education

Any Graduate