Vice President of Data Science

Join Attain as the Vice President of Data Science, where you will own the science behind our products and set the standard for defensible methodologies. You will work closely with product, engineering, and ML teams, as well as commercial teams, to ensure our science is effectively communicated to clients. You will also lead our team of data scientists and manage engagements with external consultants.

Desarrollar y liderar nuestro equipo de científicos de datos, y gestionar las colaboraciones con consultores externos que aporten experiencia específica en el dominio.

You'd rather disclose the limits of a model proactively than get caught defending it after the fact

We encourage you to apply, even if your experience doesn’t match every detail on the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities

Responsibilities

• Definir y mantener los estándares para cómo Attain mide el impacto, prueba la causalidad y valida los datos modelados.
• Poseer la modelización detrás de nuestros productos, como el balanceo del censo, la atribución, la segmentación de audiencia, la incrementalidad y los regímenes de validación que los respaldan.

Requirements

• You've built your career in AdTech/MarTech, and have personally owned methodology in front of both internal and external stakeholders
• You're excited to lead a team of data scientists who combine methodological depth with a product and client mindset
• You have excellent communication and presentation skills, and can move comfortably between a technical ML/engineering audience and a commercial/executive one, and you're credible with both
• You have deep expertise in causal inference, incrementality, attribution, and media mix modeling, and the statistical grounding (Bayesian methods, experimental design) to defend it under pressure
• You know how to be a strong advisor, not just a decision-maker; you can lay out every question, concern, and limitation on a product or methodology choice clearly enough to ensure there is no ambiguity in the decision-making process
• You've worked hands-on with large-scale consumer datasets (transaction, purchase, panel, or identity data) and know the real tradeoffs in imputation, matching, coverage gaps, and bias correction
• 10+ years in data science within AdTech/MarTech, with 4+ years leading a team
• Experience presenting and defending modeling approaches to external clients, partners, or regulators

Experience building and scaling a data science team

• Advanced degree (MS/PhD/MBA) in economics, statistics, or a related quantitative field, or equivalent demonstrated depth
• Track record owning measurement science or methodology at a senior level in AdTech, MarTech, or a data-driven consumer platform

Preferred

• Prior experience with panel-based or modeled/synthetic consumer data specifically is a strong plus
• Strong Python and modern ML/statistical tooling; comfortable operating on a cloud data stack