Senior Data Scientist – Meals

🕒 5 days ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $161k - $204.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instacart

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead data science for the Meals initiative, owning post-MVP scale-up of data science systems and infrastructure • Design, build, and maintain metric-tracking frameworks measuring Meals’ impact on engagement, activation, and reactivation • Drive experimentation strategy from hypothesis definition through analysis and recommendation • Partner with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights • Contribute to a 0→1 initiative and help define success at scale

🎯 Requirements

• Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers • Strong foundation in product and data analysis, A/B experimentation, causal inference, and statistical modeling • Experience defining KPIs and optimizing funnels for product-market fit • Excellent communication skills and ability to synthesize complex technical findings for senior business and engineering stakeholders • 4+ years of work experience in data science or a related field • Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or Engineering, or equivalent practical experience

🏖️ Benefits

• Flex First flexibility to work from home, an office, or a favorite coffee shop • Regular in-person events to stay connected and build community • New hire equity grant • Annual refresh grants • Market-competitive compensation and benefits