Requirement & Responsibilities

• 4-6 years of experience in the field of Analytics, Data Science (ML) with the ability to work proactively and handle ambiguous scenario
• Strong with SQL, Python, PySpark and having the drive to learn new tech stacks relevant to the Project
• Proven track record of taking ownership and delivering result in fast paced environment/ large scale projects
• Strong business acumen and Product thought thinking, with ability to think strategically and tactically to drive execution
• Anchor Analytics discussions with Product teams, with strong understanding of ML/ AI based Project lifecycle
• Ability to have strong verbal and written communication based on the audience
• Basic exposure to data pipelines, MLOps, cloud platform services
• Good to have: Being able to collaborate with stakeholders such as Data Science, Product teams and Leadership (if required)

To succeed in this role – you should have the following

• 4-6 years of experience in the field of Analytics, Data Science (ML) with the ability to work proactively and handle ambiguous scenario
• Strong with SQL, Python, PySpark and having the drive to learn new tech stacks relevant to the Project
• Proven track record of taking ownership and delivering result in fast paced environment/ large scale projects
• Strong business acumen and Product thought thinking, with ability to think strategically and tactically to drive execution
• Anchor Analytics discussions with Product teams, with strong understanding of ML/ AI based Project lifecycle
• Ability to have strong verbal and written communication based on the audience
• Basic exposure to data pipelines, MLOps, cloud platform services
• Good to have: Being able to collaborate with stakeholders such as Data Science, Product teams and Leadership (if required)
• Good to have: High level understanding of Generative models, NLP