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Job Location: Gurgaon/Gurugram
A Manager in ‘Applied intelligence –understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
Duties and Responsibilities:
•Management: Line manager for several analysts; Lead initiatives to improve the team morale, camaraderie, and collaboration; Work well with the team members to maintain high credibility, respect, and fairness as measured in GPTW and internal surveys; share responsibilities of managing the team.
•Client projects and Internal development: Analytics lead on client projects responsible for data science application development and its productionization; Take responsibility for requirements gathering, solution design, development, and developing a production level data science solution; Guide team members on project work and take responsibility for the analytics deliverables; Conduct proof-of-concept work to test new data science algorithms or features.
•Data Science Practice: Develop implementation guidelines, quality control procedures, and documentation for projects; Ensure adherence of the best practices in the project; Work with data science leadership to grow data science expertise and nurture the talent by conducting internal training.
Duties and Responsibilities:
•Management: Line manager for several analysts; Lead initiatives to improve the team morale, camaraderie, and collaboration; Work well with the team members to maintain high credibility, respect, and fairness as measured in GPTW and internal surveys; share responsibilities of managing the team.
•Client projects and Internal development: Analytics lead on client projects responsible for data science application development and its productionization; Take responsibility for requirements gathering, solution design, development, and developing a production level data science solution; Guide team members on project work and take responsibility for the analytics deliverables; Conduct proof-of-concept work to test new data science algorithms or features.
•Data Science Practice: Develop implementation guidelines, quality control procedures, and documentation for projects; Ensure adherence of the best practices in the project; Work with data science leadership to grow data science expertise and nurture the talent by conducting internal training.
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