Senior Data Scientist II – AI for Analytics

🕒 April 6

🏄 California, Colorado, +17 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $182k - $230k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

eCommerce • Transport • Retail

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

• Drive AI for Analytics data science work • Identify promising opportunity areas and contribute data expertise for new product ideas • Use and deploy a variety of AI systems in production • Improve product features by adding intelligent functionality that relies on data science methods including statistical and machine learning methods • Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc) • Create the product roadmap • Ruthlessly prioritize among requests from multiple competing stakeholders • Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals

🎯 Requirements

• 6+ years of work experience in a data science or related field • Have deeply engaged with AI workflows • Expert in Python (pandas), SQL, git, and Jupyter notebooks • Strong statistical and analytical skills • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed. • 8+ years of work experience in a data science or related field (preferred) • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team (preferred) • Significant causal experimentation experience (preferred) • Built a complex machine learning or statistical model and deployed/supported it in production (preferred) • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks (preferred)

🏖️ Benefits

• Market-competitive compensation • New hire equity grant • Annual refresh grants