Senior Data Scientist II – Ads Optimization

🕒 5 days ago

🌐 United States, Canada – Remote

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💵 $182k - $230k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Instacart

Instacart

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

• Own analytics and experimentation strategy for pacing, targeting, and related optimization areas • Design and build intelligent pacing algorithms and budget allocation systems using adaptive control and model-predictive control techniques • Lead end-to-end experimentation across optimization systems • Diagnose complex or conflicting signals and translate results into recommendations for Product and Engineering leadership • Apply causal inference, statistical modeling, and machine learning to optimize ad spend across time and auction opportunities • Present findings and strategic recommendations to Product, Engineering, and Data Science leadership • Serve as a thought leader and technical anchor in Ads Optimization • Mentor peers across the team • Collaborate with Ads Product and Sales teams to gather advertiser feedback and inform optimization priorities

🎯 Requirements

• Proven experience in ads optimization at an ad tech company, with hands-on work in pacing, targeting, budget allocation, or related systems • Strong data science foundation in product and data analysis, A/B experimentation, causal inference, and statistical modeling • Experience shipping optimization systems into production, including measurement and iteration in live environments • Excellent communication skills and ability to synthesize complex technical findings for senior business and engineering stakeholders • 6+ years of work experience in a data science or related field

🏖️ Benefits

• Flexible choice of work location: home, office, or favorite coffee shop • Regular in-person events • New hire equity grant • Annual refresh grants • Market-competitive compensation and benefits

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