4 days ago
Remote, CanadaMid Level
Responsibilities
- Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting.
- Translate marketplace questions into mathematical formulations, analyses, prototypes, and experiments.
- Implement, validate, monitor, and improve algorithmic production systems.
- Collaborate with scientists, engineers, and product managers on large-scale marketplace problems.
- Communicate assumptions, findings, methodologies, results, and limitations to technical and cross-functional partners.
Requirements
- PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline.
- Strong foundation in optimization, probability, statistical modeling, econometrics, or control theory.
- Proficiency in Python and SQL.
- Strong analytical and communication skills.
- Preferred: 2+ years of software engineering experience applying quantitative methods to production systems.
- Preferred: familiarity with advertising systems, auction theory, marketplace optimization, large-scale data pipelines, real-time decision systems, and machine learning in production.
Benefits
- Remote Flex First work arrangement with flexibility to work from home, an office, or another preferred location.
- Role is currently open to candidates in Ontario, Alberta, British Columbia, and Nova Scotia.
- Eligible for a new hire equity grant and annual refresh grants.
- Market-competitive compensation and benefits based on work location.
Categories
About Instacart
Instacart builds a grocery technology platform used by retailers and consumers for online shopping, delivery, and pickup. Its business spans a consumer marketplace, enterprise e-commerce and fulfillment software, and a retail media ads network, generating revenue from fees, subscriptions, software, and advertising. Founded in 2012 and headquartered in San Francisco, the company is publicly traded on Nasdaq and operates across the U.S. and Canada.