Senior Applied Scientist Sponsored Ads

Posted 10 Days Ago
Be an Early Applicant
Bellevue, WA
147K-235K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
The Role
As a Senior Applied Scientist on the Sponsored Ads team at Chewy, you'll deploy machine learning and data science to enhance product selection and advertising solutions, guiding technical strategy, leading projects from ideation to production, and mentoring junior scientists while publishing research in influential conferences.
Summary Generated by Built In

Our Opportunity:

Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company.  At Chewy, Sponsored Ads team is looking for a Senior Applied Scientist to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads.  

As a member to the Sponsored Advertising team, you’ll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You’ll be at forefront of driving technology driven business impact. Machine learning and deep-learning models will influence selection, relevance, ranking, click-through prediction modelling, auction-dynamics, keywords recommendation, campaign optimization, ads channel performance, ads performance maximization and wide array of engaging data-science latest methodologies including but not limited to LLMs and generative AI.

Sponsored Ads creates a win-win ecosystem for shoppers, brand owners and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and maximize their reach.

Come be part of the Sponsored Ads team’s impactful journey at Chewy!

What you'll do:

  • You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping create a win-win ecosystem.
  • Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions.
  • You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.
  • Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.
  • Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists.
  • Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents.
  • Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.

What You'll Need:

  • An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years designing optimization and machine learning solutions for large scale applications.
  • Ability to understand and apply sophisticated mathematics and DS methodologies.
  • Experience in building distributed pipeline, tuning, optimizing and evaluation.
  • Experience with Sponsored Ads or Advertisement domain. 
  • Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings.
  • Ability to translate complex data sets and research into simple business recommendations.

Bonus:

  • Experience in e-commerce or retail.
  • Prior experience in Advertising systems a huge plus.
  • Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.

Compensation & Benefits:

Our salary range for a Machine Learning Engineer III position is $146,500.00 - $234,500.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k, and a new hire and annual equity grant. We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.



Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].


If you have a question regarding your application, please contact [email protected].


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Top Skills

Data Science
Deep Learning
Machine Learning

What the Team is Saying

Charles
Roshni
Dewone
Mark
Victoria
Sumit
Zack
The Company
Bellevue, WA
20,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. We view pets and pet parents as family, and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, growand unleash your fullest potential.

Launched in 2011, we offer the personalized service of a neighborhood pet store alongside the convenience and speed of e-commerce. Customers love shopping our wide selection of products of more than 100,000 products (including our Private brands and prescription Rx food and Rx medication products), which we offer at competitive prices, fast 1-2 day shipping and around-the-clock convenience that only e-commerce can offer.

Chewy’s commitment to customer service is the core of our brand, and our customers love us for it. We “WOW” pet parents through 24/7 assistance, advice and encouragement every day of the year. We make pet parenting easy with our convenient Autoship subscription program—which allows our customers to schedule their orders, so they never run out of their pet food, supplies and medication they need.

As an e-commerce company, product innovation drives our operations, and our team is constantly striving to find new and better ways to improve our customers’ experience. From an easy­-to­-navigate website and highly rated mobile apps, to detailed order tracking and personalized “Pet Profile” features, we are transforming the way pet parents shop.

Why Work With Us

We're proud to be one of the fastest growing e-commerce companies of all time.

With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.

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Chewy Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Bellevue, WA

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