Senior Marketing Decision Scientist

🕒 Maio 28

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Instacart

1001 - 5000 funcionários

Fundada em 2012

🍽️ Alimentos e Bebidas

📦 Logística

🛍️ Comércio Eletrônico

💰 $232.000.000 Venture Round em 2021-11

Food & Beverage • Logistics • eCommerce

A Instacart é uma empresa que oferece uma abordagem flexível de trabalho enquanto transforma o setor de supermercados. Ela presta um serviço essencial ao entregar compras de supermercado e itens para a casa na porta dos clientes em até 30 minutos. A Instacart oferece oportunidades de ganho seguras e flexíveis para personal shoppers e enfrenta desafios como redirecionar entregas durante nevascas e conectar clientes a cupons e promoções. Seu objetivo é ser o sistema operacional do setor de supermercados, ajudando os clientes a economizar tempo para outras atividades. A Instacart valoriza diversidade, equidade e pertencimento em sua cultura de trabalho.

Descrição

• Own the end-to-end marketing measurement strategy across paid search, paid social, display, affiliates, CTV, and lifecycle/CRM, unifying MMM, MTA, and incrementality testing to guide channel and portfolio-level investment. • Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference studies that quantify lift, inform targeting, and establish best practices for decision-making under uncertainty. • Build and productionize predictive models (e.g., LTV, churn/propensity, audience response, budget allocation) using SQL and Python or R, partnering with data engineering to automate pipelines and ensure data quality. • Create executive-ready dashboards and narratives in tools like Looker or Mode that track KPIs, explain performance drivers, and translate insights into clear, prioritized recommendations. • Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes; influence roadmaps and present findings to VP+ stakeholders. • Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects and elevating the team’s analytical bar through peer reviews, documentation, and mentorship.

🎯 Requisitos

• 6+ years of experience in marketing analytics or data science within technology, e-commerce, marketplace, or consumer subscription businesses. • Advanced proficiency in SQL and in either Python or R for data manipulation, statistical analysis, and modeling. • Hands-on experience designing and analyzing marketing experiments (e.g., A/B tests, geo experiments, holdouts) and applying causal inference techniques to estimate incrementality. • Proven track record implementing at least one marketing measurement approach (e.g., MMM, MTA, or structured incrementality testing) to inform budget allocation for multi-million-dollar programs. • Experience building business-facing dashboards and self-serve tools in Looker, Tableau, or Mode. • Experience working with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and version control (Git). • Demonstrated ability to translate ambiguous business questions into analytical roadmaps and to communicate clear, actionable recommendations to non-technical and executive audiences. • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience.

🏖️ Benefícios

• Flex First team • Remote work options • Equity grants • Annual refresh grants

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