Head of Data Science

What Makes Us a Great Place to Work

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

Who You’ll Work With

Growth AI Performance System is Bain’s integrated suite of agentic decisioning tools giving large organizations always‑on intelligence across their most important growth decisions. It sits at a rare intersection few organizations can genuinely offer: the analytical depth and client access of a top‑tier consultancy, the technical ambition of a product company, and the commercial stakes of both.

You will lead the statistical and modelling practice behind the platform -
- the software that helps Fortune 100 to 500 companies answer where to invest, where to focus, and how to win across marketing ROI, brand strategy, and pricing and commercial analytics. You will work inside Bain’s persistent product team, alongside Tech Leads, Full‑stack Engineers, and AI Engineers, with direct feedback from case teams and client engagements flowing back into the models.

The platform has two layers working together: the Agentic Core and three product modules, each solving a distinct commercial problem. The build lifecycle is uniquely connected to the real world. As case teams work alongside clients across industries and geographies, that feedback flows directly back to engineering and gets woven into the product. Every client engagement makes the suite smarter, broader, and more resilient.

This is a startup inside an established company. You get genuine early‑stage ownership -
- real influence over architecture and product direction -
- backed by Bain’s global scale, client relationships, and leadership commitment. The pace of a startup with the runway of a global firm.

We are looking for a research‑calibre statistician who goes past the first defensible answer when the data and the decision require it -
- someone who can derive a model on a whiteboard, implement it correctly in code, validate it rigorously, and defend it in a client room. This is applied statistics in production, at scale, with real users depending on what you build.

Where You’ll Fit Within the Team

The Head of Data Science owns the statistical and analytical standard for every Growth AI Performance System product module. You sit above module‑level Data Scientists, working across blended product and case teams. You are the final word when a modelling question exceeds the standard playbook -
- and you are expected to personally lead the hardest, least‑precedented problems, not only set direction for others.

You will work across the platform and product modules focused on marketing ROI, brand or pricing strategy. The problems span marketing mix modelling, brand equity measurement, price elasticity, promotional lift, and ranging and assortment -
- hard analytical domains with decades of methodology behind them and enormous client‑specific noise in front of them. You must know that literature well enough to depart from it when it does not serve the client, and produce outputs credible in both directions: to a methodologically literate peer and to a CMO or Category Director who needs to act.

Analytical outputs here are not research artefacts. They are the core of what the product delivers and what clients trust. The standard you hold the team to is the standard the whole product is measured against.

This role requires a combination that is genuinely rare: research‑grade statistical depth, the software discipline to implement models that engineers can maintain, and the client communication skills to present methodology, defend assumptions under live challenge, and adjust the model narrative when the room requires it.

What You’ll Do

Analytical leadership and frontier modelling

• Set and own the statistical standard across all Growth AI Performance System modules: define what methodologically sound means from problem framing through production handoff, and hold every module’s work to that bar
• Personally lead the hardest modelling problems -
  - where standard Bayesian, time-series, hierarchical, or domain-specific playbooks do not cleanly apply -
  - including cases requiring custom likelihoods, non-standard priors, partial identification analysis, or cross-model reconciliation
• Take models written as equations -
  - likelihood, priors, constraints, forward maps --