Job Description & How to Apply Below
Designation:
Capability Lead – Data Science & Analytics
This is not a delivery management role. This is a capability, technical leadership, and revenue-owning role.
About Us
The Math Company or Math Co® is a global
Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, Math Co builds custom
AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. Nucli
OS, Math Co’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.
For our employees, we foster an open, transparent, and collaborative culture with no barriers, making Math Co a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.
Job Overview
The Data Science & Analytics Capability Lead is a senior leadership role responsible for raising the technical depth and solution maturity across Math Co’s analytics engagements.
This role exists to:
Provide expert guidance on complex analytical problems across accounts
Strengthening solution architecture for industry-level problems
Engage with senior customer stakeholders as a technical thought partner
Lead and mentor a pool of high-caliber SMEs who are embedded across client engagements
Own and drive revenue generated from this capability through billed SME deployments
Build reusable analytical frameworks, accelerators, and best practices
Support learning and development of analytics talent across the organization
Act as the technical conscience of the organization, ensuring rigor, innovation, and quality
Job Responsibilities
Technical Leadership Across Accounts
Provide advisory support to accounts facing complex modeling and analytics challenges (e.g., MMM, MTA, Forecasting, Pricing, Retail Media Measurement, Causal Inference, Bayesian modeling, Neural Networks etc.)
Review and strengthen analytical approaches, model structures, and solution logic
Be the go-to expert for problem statements that require depth beyond standard playbooks
Senior Customer Stakeholder Engagement
Engage directly with senior client stakeholders (Director/VP/Head of Analytics, Marketing Science, Revenue Growth, etc.) as a technical leader
Represent Math Co’s analytical depth in critical client conversations, workshops, and solution discussions
Build credibility and trust through strong analytical articulation and problem solving
Support accounts in translating complex analytics into business-relevant narratives for leadership audiences
Own and Grow the SME Capability Revenue
Build and manage a pool of high-caliber SMEs deployed across accounts
Drive billed utilization of SMEs embedded in client engagements
Own the revenue generated from this capability
Ensure SMEs are deployed where they create maximum client and commercial impact
Track and manage capability pipeline, utilization, and revenue performance
Solution Design, Pilot Success & Pipeline Conversion
Partner with Growth, Presales, and Account teams to design solutions for complex RFPs and problem statements
Lead analytical solutioning for pilot and high-stakes projects
Convert successful pilots and technical interventions into scaled engagements
Actively contribute to conversion of sales pipeline through technical credibility
Build Analytical Assets & Frameworks
Develop reusable solution frameworks for key industry problems
Create modeling templates, code accelerators, and best practice playbooks
Standardize high-quality analytical approaches across teams
Quality & Rigor Champion
Act as the review authority for high-impact analytical solutions
Improve analytical storytelling, documentation, and model defensibility
Raise the bar for what “good” looks like at Math Co
Learning & Development Leadership
Partner with L&D to design capability development programs
Conduct internal workshops, masterclasses, and technical forums
Create learning pathways, reference materials, and case studies from real engagements
Mentor senior data scientists and emerging technical leaders across the…
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