Senior Machine Learning Scientist, Wayfair
A global online homeware marketplace
Open for applications
A global online homeware marketplace
1001+ employees
Open for applications
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- Bachelor's or advanced degree (Master’s, PhD) in Computer Science, Economics, Mathematics, Statistics, or related field
- 3-6 years of experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in digital marketing decisioning (e.g., spend management, content optimization, segmentation) and/or ML decisioning systems
- Experience with end-to-end project ownership, including collaboration with business partners and strong written and verbal communication skills
- Strong SQL skills and excellent software engineering skills in Python
- Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker
Desirable
- PhD in Computer Science, Economics, Mathematics, Statistics, or related field
- Expertise in causal inference, multi-armed bandits (MAB), reinforcement learning, control systems, and heterogeneous treatment effect estimation
- Strong background in statistical analysis, hypothesis testing, A/B testing methodologies, and quasi-experimental measurement methods
- Experience with specific marketing platforms: familiarity with Google Ads, Meta Ads, or other major advertising platforms is a definite advantage
What the job involves
- The Bidding and Decisioning team under Wayfair Marketing Science is responsible for developing and managing machine learning models and strategies to optimize marketing decisions across paid media channels
- We aim to create a leading, customer-focused, ML-powered decision engine that uses extensive first- and third-party data, in collaboration with engineering teams, to optimize every aspect of our marketing
- This includes spend management, content optimization, segmentation, and campaign structures across major digital ad platforms like Google, Meta, Pinterest, and Microsoft Bing, etc
- Our work impacts hundreds of millions in ad spend, ensuring we provide the right marketing experience for each customer, at the right time, and at the right price throughout their buying journey
- Identify new opportunities and evolve the spend management optimization framework, expanding its coverage for new use cases
- Build and implement ML solutions to enhance efficiency, defining problem statements, and delivering against technical and research objectives in a timely manner
- Collaborate cross-functionally with Marketing, MarTech (Product & Engineering), and ML Platform teams to align roadmaps, adopt best practices, and build scalable, sustainable bidding solutions
- Engage with external vendors, including Google, Meta, Pinterest, to understand technical capabilities, inform bidding solution decisions, and influence strategic roadmaps
- Collaborate closely with engineering, infrastructure, and ML platform teams to adopt best practices for building and deploying scalable ML services
- Foster the development of junior ML scientists on the team through mentorship, knowledge-sharing, and support for subject matter expertise initiatives such as code reviews
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionize online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
-14% employee growth in 12 months
Company
Company values
- Relentless Customer Focus: Delivering an exceptional customer experience drives everything we do. We invest in understanding our customers and partners. We are all in customer service
- Deliver Rsults With Agility: We prioritize work that drives long-term value. We execute with urgency, learn from failure, and nimbly pivot. The outcomes of our efforts are impactful, measurable results
- Use Good Judgement: We are bold and confident, never reckless. We make reasoned, calculated decisions based on data, critical thinking, and pattern recognition
- Build the Best Team: We lead by setting the bar high, articulating clear goals, and diving deep. We hire, develop, and leverage only the best. Our leaders continually reevaluate and strengthen their teams and do not shy away from hard decisions. We expect and demonstrate excellence
- Collaborate Effectively: We invest in cross-functional global partnerships that maximize impact and minimize duplication. We prize collaboration in all interactions – with our teammates, stakeholders, and suppliers. We disagree, align, and commit. Effectiveness and efficiency in collaboration are required.
- Respect Others: We earn and show respect, treating our teammates and partners with empathy and inclusion. We presume good intent while prioritizing impact. We balance confidence and candor with humility and kindness.
- Be an Owner: We are Wayfair first. We act on what’s best for the company, ahead of team or individual goals. We spend every dollar as if it is our own. We take pride in Wayfair’s success while planning the next win. We always think long-term
- Innovate & Improve: We are not limited by precedent. We boldly challenge the norm. We continually identify opportunities to innovate, improve, and simplify. We value incremental improvements, but we also look for game-changing breakthroughs.
- Adapt & Grow: We value adaptability and self-reflection. We find opportunity in every change, experience, and mistake. We are committed to continuous self-improvement.
Company HQ
Prudential / St. Botolph, Boston, MA
Articles
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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