Data Science Manager Job in Themathcompany

Job Title: Data Science Manager

Location: Bengaluru, Karnataka, India

Department: Data Science

Experience: 6 to 8 years

About the Role

We are seeking a highly analytical and detail-oriented Data Science Manager with deep expertise in Marketing Mix Modeling (MMM) to join our Data Science team. You will lead the development, implementation, and interpretation of MMMs to quantify the impact of marketing channels on business outcomes. Collaborating closely with marketing, finance, and strategy teams, you will guide media investments, enhance ROI, and drive data-driven decision-making.

Key Responsibilities

• Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to gather business requirements and define project scope.
• Develop and execute detailed project plans aligned with objectives.
• Design data science solutions tailored to client goals.
• Assign tasks to delivery team members based on their skills and monitor progress.
• Lead project execution, tracking milestones, ensuring timely and quality delivery.
• Monitor delivery quality and scorecard metrics; develop action plans for improvement.
• Lead scrum meetings, client stand-ups, and weekly business reviews.
• Enforce best practices for quality assurance including peer reviews, coding standards, and documentation.
• Provide both technical and business guidance to the delivery team.
• Mentor and coach team members to build a high-performance culture.
• Foster an environment of trust and encourage innovation.
• Review and approve team deliverables before client submission.

Required Skills

Technical Skills

• Advanced knowledge of probability, statistics, and practical machine learning, including awareness of pitfalls and mitigation approaches.
• Intermediate proficiency in Python and SQL.
• Intermediate knowledge of project management methodologies and tools.
• Competency in MS Office (Excel, PowerPoint, Word).

Non-Technical Skills

• Strong business acumen with the ability to assess financial impact of decisions on delivery and client solutions.
• Skilled in storytelling and presenting data-driven insights to mid-management clients.
• Ability to balance pragmatic solutions with time and business impact considerations.
• Excellent interpersonal skills, including conflict resolution, empathy, communication, listening, and negotiation.
• Demonstrated leadership and mentorship abilities.
• Self-driven with strong ownership and accountability.

Educational Qualifications

• Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields.
• Candidates with non-technical degrees should demonstrate relevant experience and technical aptitude.