Data Science

Data Science: Consultant

Experience: 4 to 7 YOE

Requirement:

• Bachelor's Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4 to 7 years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Excellent communication skill and should be able to frame problem statement into analytical approaches
• Strong programming experience in Python 
• Strong in GenAI and NLP: 
  • Extensive experience in retrieval augmented generation and strong grasp in agents
  • Should have good understanding of transformer architecture and traditional NLP
• Should be a self-sufficient in understanding the problem statement, explore the approaches to solve problems and ability to experiment & come-up with a plausible solution.
• Should be able to create APIs for backend and also have some hands-on experience in creating basic frontend using ReactJS for POCs
• Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation.

Data Science: Consultant

Experience: 4 to 7 YOE

Requirement:

• Bachelor's Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4 to 7 years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Excellent communication skill and should be able to frame problem statement into analytical approaches
• Strong programming experience in Python 
• Strong in GenAI and NLP: 
  • Extensive experience in retrieval augmented generation and strong grasp in agents
  • Should have good understanding of transformer architecture and traditional NLP
• Should be a self-sufficient in understanding the problem statement, explore the approaches to solve problems and ability to experiment & come-up with a plausible solution.
• Should be able to create APIs for backend and also have some hands-on experience in creating basic frontend using ReactJS for POCs
• Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation.

Data Science: Consultant

Experience: 4 to 7 YOE

Requirement:

• Bachelor's Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4 to 7 years of relevant experience in Machine Learning, Statistics.
• Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

• Excellent communication skill and should be able to frame problem statement into analytical approaches
• Strong programming experience in Python 
• Strong in GenAI and NLP: 
  • Extensive experience in retrieval augmented generation and strong grasp in agents
  • Should have good understanding of transformer architecture and traditional NLP
• Should be a self-sufficient in understanding the problem statement, explore the approaches to solve problems and ability to experiment & come-up with a plausible solution.
• Should be able to create APIs for backend and also have some hands-on experience in creating basic frontend using ReactJS for POCs
• Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation.