Wayfair
Senior Technical Analyst, Global Customer Service
Wayfair, Boston, Massachusetts, us, 02298
The salary range for this position is $121,000 - 132,000. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. There are no bonuses or stock options for this level and type of position.
MUST be ONSITE Boston, MA (Monday-Thursday)
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The Global Forecasting team sits within the Customer Services organization and is responsible for building ML models that predict the level of contacts that we expect to receive from customers each day. The accuracy of these predictions determines how many staff we need to deliver a high level of service and support for our customers.
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. This role requires a unique combination of technical expertise in Machine Learning Engineering (MLE) and a strong understanding of business strategy.
What You’ll Do:
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.
What You’ll Need:
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).
An Important Note about Wayfair's In-Office Policy:
All Boston-based interns, Co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Monday - Thursday, and work remotely Friday.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
#J-18808-Ljbffr
MUST be ONSITE Boston, MA (Monday-Thursday)
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. The Global Forecasting team sits within the Customer Services organization and is responsible for building ML models that predict the level of contacts that we expect to receive from customers each day. The accuracy of these predictions determines how many staff we need to deliver a high level of service and support for our customers.
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. This role requires a unique combination of technical expertise in Machine Learning Engineering (MLE) and a strong understanding of business strategy.
What You’ll Do:
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.
What You’ll Need:
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).
An Important Note about Wayfair's In-Office Policy:
All Boston-based interns, Co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Monday - Thursday, and work remotely Friday.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
#J-18808-Ljbffr