
1001 - 5000 employees
Founded 2012
🍽️ Food & Beverage
📦 Logistics
🛍️ eCommerce
💰 $232M Venture Round on 2021-11
Food & Beverage • Logistics • eCommerce
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
🕒 4 days ago
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1001 - 5000 employees
Founded 2012
🍽️ Food & Beverage
📦 Logistics
🛍️ eCommerce
💰 $232M Venture Round on 2021-11
Food & Beverage • Logistics • eCommerce
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
• Build automated signal ingestion pipelines that pull real-time data from security tooling • Develop probabilistic risk models that express security exposure as probability distributions • Identify systemic choke points across the attack surface • Build dashboards and data-driven insights that cascade risk visibility across multiple stakeholders • Support risk quantification efforts that express security exposure in financial terms
• 5+ years of experience in data engineering • demonstrated ability to write production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL) • 3+ years of experience building and deploying machine learning or probabilistic models (e.g., Bayesian models) • Experience building data pipelines that ingest real-time or near-real-time data across multiple formats • Experience with data modeling for classification, normalization, and risk or anomaly detection signal development • Experience developing metrics that inform security and business decisions
• highly market-competitive compensation and benefits • eligible for a new hire equity grant • annual refresh grants
Apply Now🕒 4 days ago
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