Senior Technical Analyst, Wayfair
Global Customer Service
$121-132k
More information about location
4 days a week in office
A global online homeware marketplace
Job no longer available
A global online homeware marketplace
1001+ employees
Job no longer available
$121-132k
More information about location
4 days a week in office
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- This role requires a unique combination of technical expertise in Machine Learning Engineering (MLE) and a strong understanding of business strategy
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, or a related discipline
- 2+ years of experience with Software Engineering and/or Machine Learning
- Proficiency in Python, SQL, and experience with ML frameworks and orchestration tools (e.g., Airflow, MLFlow). Ability to handle large datasets and build production-ready models
- Strong ability to understand business needs and translate them into technical solutions. Experience in using data to drive business decisions
- Ability to analyze complex and often ambiguous data to derive actionable insights. High attention to detail and a proactive approach to problem-solving
- Excellent communication skills to effectively collaborate with cross-functional teams and present findings to non-technical stakeholders
- Experience in e-commerce, supply chain management, or related fields. Familiarity with cloud-based ML platforms (e.g., Google Cloud, AWS)
What the job involves
- We are looking for a versatile Analyst to join our Global Forecasting team, where you will play a key role in developing data-driven solutions that align with our business goals, and maintaining world-class Customer Service
- Assist in the design, development, and deployment of machine learning models that address key business challenges. Ensure these models are seamlessly integrated into the company’s operations
- Work closely with business stakeholders to translate complex data into actionable insights, aligning machine learning projects with business objectives
- Analyze large datasets to extract meaningful patterns and trends. Collaborate on feature engineering to optimize model performance
- Develop and implement scalable analytics products in Python, GBQ, and visualization platforms (e.g., LookerStudio) that enable business leaders to monitor performance and make informed decisions
- Continuously monitor and refine deployed models to improve their accuracy and business impact. Build robust monitoring and alerting systems
- Partner with engineers, data scientists, product managers, and commercial teams to ensure machine learning initiatives are aligned with business needs and deliver measurable results
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
Few 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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