Data Scientist

🕒 Dezembro 16, 2025

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Hightouch

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2020

☁️ SaaS

Marketing • Advertising • SaaS

Hightouch é uma Plataforma de Dados do Cliente Composable (CDP) que permite às equipes de marketing personalizar e otimizar campanhas utilizando dados de clientes e tomada de decisões por IA. Construída sobre o seu data warehouse, a Hightouch permite personalização em tempo real, segmentação de audiência e orquestração de jornada sem necessidade de escrever código. Integra-se com mais de 200 ferramentas, transformando a infraestrutura de dados em insights acionáveis para equipes de marketing, publicidade e dados. A Hightouch capacita as organizações a manterem o controle sobre seus dados enquanto oferece recursos avançados, como segmentação de público e acompanhamento de conversões, para melhorar o alcance da publicidade e o desempenho das campanhas.

Descrição

• Own diagnostics, insights, and tuning for AI Decisioning campaigns • Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis. • Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals. • Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations. • Work deeply with data in notebooks and customer warehouses • Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks • Modify and improve customer feature matrices to unlock deep personalization. • Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI. • Build lightweight tooling that enables scale • Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers. • Identify systemic gaps and influence the direction of ML reporting and introspection. • Communicate ML concepts clearly to non-technical stakeholders • Present model insights and recommendations to marketers, analysts, and executives. • Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more. • Partner closely with Solutions Consultants to identify and drive new opportunities for uplift.

🎯 Requisitos

• Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks). • Ability to write and interpret SQL for customer warehouse analysis. • High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows). • Excellent communication skills; able to explain technical reasoning simply and confidently to marketers. • A customer-first attitude with high ownership and urgency when resolving issues. • Bonus Points: • Experience setting up and analyzing marketing experiments such as A/B, multivariate tests. • Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role. • Experience building lightweight internal tools or scripting solutions.