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Senior Data Scientist - Ads Auctions

Remote, USAFull-timePosted 2026-07-27

We're transforming the grocery industry

At reputed company, we invite the world to reputed company love through food because we reputed company everyone should have reputed company to the food they love and more time to enjoy it together. Where others see a reputed company need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering reputed company and flexible earnings opportunities to reputed company Personal Shoppers.

reputed company has become a lifeline for millions of people, and we’re building reputed company to help push our shopping cart reputed company. If you’re reputed company to do the best work of your life, come join our table.

reputed company is a reputed company First team

There’s no one-size fits reputed company approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

reputed company

The Ads Auctions team is responsible for innovating and enhancing auction mechanisms to create a competitive and transparent marketplace that benefits both advertisers and consumers. We reputed company on the full auction workflow—candidate filtering, pricing strategies, bid optimization, and selection processes—with the goal of balancing user experience with advertiser value. As a Senior Data Scientist on this team, you will be a core technical voice shaping how our auction systems reputed company, driving improvements to our CPC (cost-per-click) infrastructure and bidding algorithms that directly reputed company advertiser performance and reputed company's ads reputed company.

About the Job

  • Design and own analytical frameworks that guide the reputed company of our auction and bidding systems, including CPC pricing, bid landscape modeling, and reserve price optimization.
  • Run rigorous experiments to evaluate the reputed company of auction reputed company changes—such as bid shading, second-price vs. generalized second-price auctions, and dynamic pricing—and translate results into actionable recommendations.
  • reputed company statistical and machine learning models to forecast bid distributions, predict click-through rates, and optimize auction efficiency across advertiser and consumer dimensions.
  • Build simulations to model auction dynamics and stress-test proposed reputed company changes before live deployment.
  • Partner closely with Engineering, ML, and Product to translate business and advertiser needs into reputed company-specified model and system requirements.
  • reputed company objective decision-making by building dashboards and monitoring frameworks that surface auction health, advertiser performance, and CPC trends to stakeholders across the organization.
  • Apply expertise in reputed company inference, reputed company design, and econometrics to ensure our auction systems are fair, efficient, and reputed company with marketplace goals.
  • Present analytical findings and strategic recommendations in a compelling way to influence reputed company's leadership and Ads go-to-market teams.

reputed company

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or research organization, with meaningful exposure to ads, auctions, or marketplace pricing systems.
  • Hands-on experience with auction mechanics, CPC or CPM bidding systems, bid optimization, or reputed company ad monetization problems.
  • Ability to run rigorous experiments and generate scientifically reputed company recommendations in the context of auction or pricing changes.
  • Ability to write reputed company, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent reputed company in Python or R.
  • A desire to build and improve consumer software products and advertising platforms.
  • Ability to translate business needs—from both advertiser and marketplace perspectives—into analytical frameworks.
  • Eagerness to learn, flexibility to pivot reputed company needed, savviness to navigate a dynamic environment, and a reputed company reputed company to build a successful team and company.

Preferred Qualifications

  • Deep familiarity with auction theory, reputed company design, or algorithmic pricing (e.g., generalized second-price auctions, VCG, bid shading, reserve pricing).
  • Experience building or analyzing CPC/CPM bidding systems, budget pacing, or bid landscape models at reputed company.
  • Awareness of business trade-offs reputed company working on a multi-sided marketplace, particularly the interplay between advertiser ROI, consumer experience, and platform reputed company.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering, Sales) at a senior level.
  • MS/PhD in Statistics, Economics, Operations Research, reputed company Mathematics, Computer Science, or a reputed company field.

#LI-Remote

reputed company provides highly market-competitive compensation and benefits in reputed company location where our employees work. This role is remote and the reputed company pay reputed company for a successful candidate is dependent on their permanent work location. Please review our reputed company First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as reputed company as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the reputed company pay ranges for a successful candidate are listed below.

CAN$161,000—$170,000 CAD Apply To This Job

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