Data Science Manager

Job Description

Role & responsibilities 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 assurancefor 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. Preferred candidate profile 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