About the role
Data Science Manager
Job Responsibilities
• As Manager-Delivery, you will be responsible for a wide range of
engagements listed below:
• Collaborate with the Engagement Manager, Account Delivery Manager,
and client stakeholders to gather business requirements for the project.
• Develop a comprehensive project plan that aligns with the scope and
objectives of the project.
• Develop appropriate solution design that will help client achieve their
goals.
• Assign delivery team members to different activities suited to their
individual skills.
• Lead the execution of project activities according to the project plan.
Monitor the project, track milestones, and adhere to agreed-upon
timelines and scope.
• Accountable for the delivery quality of the project in question.
• Comply with all the critical dimensions of the delivery scorecard, report
as-is facts on those dimensions, and develop and execute action plans to
improve delivery scores.
• Lead internal scrum meetings and stand-ups with the clients and Weekly
Business Reviews with the clients.
• Ensure compliance with best practices and established processes for
quality assurance—for example, using quality assurance checklists,
coding best practices, peer reviews, and documentation.
• Provide both business and technical guidance to the delivery team.
• Coach individuals in the team and build a high-performance workplace.
• Establish an environment of mutual trust and respect and encourage the
team to experiment with new delivery ideas.
• Review the team's deliverables before sharing them with clients,
including codes, presentations, worksheets, emails, etc.
Required Skills (Must have)
Tech
• Advanced knowledge of probability and statistics
• Advanced knowledge of Practical Machine Learning and awareness of the
key pitfalls in machine learning and approaches to addressing them
• Intermediate knowledge levels in SQL and Python
• Intermediate knowledge of project management methodologies and tools
• Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint,
and MS Word.
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