Data Science Manager

Themathcompany; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Themathcompany in Bengaluru, India, is seeking a Manager-Delivery to lead complex client engagements, define project plans, and ensure delivery quality across multiple teams.

You will coach the delivery team, conduct reviews, and align with stakeholders on scope, timelines, and business outcomes, leveraging ML and data science expertise.

Qualifications

• Advanced knowledge of probability and statistics.
• Advanced knowledge of Practical Machine Learning and awareness of pitfalls.
• Intermediate knowledge in SQL and Python.
• Intermediate knowledge of project management methodologies and tools.
• MS Office applications: Excel, PowerPoint, Word.

Responsibilities

• Collaborate with stakeholders to gather business requirements and align on project scope.
• Develop comprehensive project plans and ensure adherence to timelines.
• Design solutions to help clients achieve goals.
• Assign delivery team members to activities based on skills.
• Lead project execution and monitor milestones and scope.
• Ensure delivery quality and implement improvement actions.
• Lead scrum meetings and business reviews with clients.
• Ensure QA practices, reviews, and documentation are followed.
• Provide business and technical guidance to the team.
• Mentor team members and foster a high-performance culture.
• Promote trust, adaptability, and delivery innovation.
• Review deliverables before sharing with clients.

Skills

Probability & statistics

Practical Machine Learning

SQL

Python

Project management tooling

MS Office (Excel, PowerPoint, Word)

Job description

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 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.

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.

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.