Senior Manager, Data Science, Analytics

🕒 Junho 11

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Customer.io

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2012

☁️ SaaS

💰 Series A em 2022-03

SaaS • Marketing

Customer. io é uma plataforma de engajamento do cliente que ajuda empresas a criarem jornadas personalizadas através de múltiplos canais, como e-mail, SMS e mensagens dentro de aplicativos, aproveitando dados primários. A plataforma oferece soluções para elaborar e automatizar mensagens com alta flexibilidade e personalização. Inclui funcionalidades como pipelines de dados para gerenciar dados de clientes, construtores de fluxo de trabalho visual para automação e ferramentas para análises e testes A/B para otimizar campanhas de mensagens. Projetada para escalar com empresas de todos os tamanhos, a Customer. io integra-se com ferramentas existentes e fornece um ambiente seguro e compatível com alta disponibilidade, tornando-se uma escolha confiável para mais de 7. 400 marcas globalmente.

Descrição

• Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience. • Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments. • Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business. • Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics. • Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.

🎯 Requisitos

• 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams. • Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. • Advanced SQL skills and proficiency with Python or similar analytical tools. • Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. • Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. • Comfortable balancing strategic leadership with hands-on analytical work when needed. • Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. • Experience in B2B SaaS, PLG, or subscription-based businesses preferred. • Based in the Americas, remote-friendly.

🏖️ Benefícios

• 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family • 16 weeks paid parental leave • unlimited PTO • stipends for remote work and wellness • a professional development budget