Data Science Manager

Description :

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 an appropriate solution design that will help the 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 the 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.

The core requirements (must have) for the job include the following :

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.

Non Tech :

- Strong business acumen with an ability to assess the financial impact of decisions, both in

running the delivery team and delivering solutions to clients.

- Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.

- Ability to recognize pragmatic alternatives vis- vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.

- Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.

- Provide leadership and mentorship to the delivery team.

- Self-driven with a strong sense of ownership.

Required Skills (Good to have) :

Tech :

- Advanced knowledge of project management methodologies and tools.

- Advanced knowledge levels in SQL and Python

- Intermediate to advanced knowledge in other areas of data science, namely, technical areas

such as time series forecasting, Bayesian data analysis,

- Operations Research, and analytics domain areas such as Pricing analytics,

- Media Mix Modeling, B2B/B2C Customer analytics, etc.

Non Tech :

- Solution proposals, collaborating with growth, customer success, and central solutioning

functions.