Senior Data Scientist – Product

🕒 Fevereiro 27

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Apollo.io

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

🤝 B2B

☁️ SaaS

🤖 Inteligência Artificial

B2B • SaaS • Artificial Intelligence

Apollo. io é uma plataforma de vendas tudo-em-um projetada para simplificar e potencializar as operações de vendas, da geração de leads à gestão de oportunidades. A plataforma oferece ferramentas para busca de contatos e contas, análise de pontuações (scores) e sinais, otimização de inbound, engajamento de vendas e mais, alavancando IA e uma rede de dados dinâmica e continuamente atualizada para oferecer inteligência de vendas completa. A Apollo. io é ideal para profissionais de vendas, profissionais de marketing e times de operações de receita (Revenue Operations) que buscam aumentar a produtividade e a eficiência ao automatizar tarefas de fluxo de trabalho (workflow) e integrar sistemas de CRM. Com foco em melhorar a performance de vendas por meio de analytics e inteligência de conversas, a Apollo. io ajuda as empresas a encontrar os leads certos no momento certo, nutrir esses leads de forma eficaz e fechar negócios com eficiência.

Descrição

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. • Establish and maintain best practices for data collection, analysis, and reporting. • Deliver actionable insights and recommendations focused on landing tangible product impact. • Help foster a culture of data-driven decision-making and continuous improvement within the product teams. • Ensure the integrity and accuracy of the data used for analysis and reporting. • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.

🎯 Requisitos

• Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. • Expertise in translating complex data into insights that are actionable for cross-functional teams. • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. • Experience in building and maintaining reliable analytics infrastructures. • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. • Experience with 0 to 1 product initiatives is a plus, though not required. • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.

🏖️ Benefícios

• equity • company bonus or sales commissions/bonuses • 401(k) plan • at least 10 paid holidays per year • flex PTO • parental leave • employee assistance program and wellbeing benefits • global travel coverage • life/AD&D/STD/LTD insurance • FSA/HSA and medical, dental, and vision benefits