Senior Data Scientist/Engineer

Must be onsite in Boston, MA (Monday-Thursday)

We are looking for advanced analytical, action-oriented, and collaborative individuals that can translate business problems into data-driven solutions and actionable insights to influence operational results. Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story.

You will join the Global Analytics Tech team focused on driving the design, creation and operation of the business infrastructure and key performance indicators that support our operations and commercial teams. Our business strategy is primarily driven by the synergies of the tech and business world. This position is ideal for those who thrive in a collaborative environment, moving quickly and smartly to steer business decisions. You will work closely with diverse, multicultural teams across the globe, enhancing our inclusive organizational culture.

What You’ll Do

• Design, develop, and maintain advanced data pipelines and warehouses using state-of-the-art technologies like BigQuery, AWS, and Hadoop. Implement robust ETL processes and ensure optimal data flow and storage.
• Utilize your expertise in Google SQL, Python to manage, clean, and transform large datasets from diverse sources. Ensure data is accurate, accessible, and primed for analysis.
• Leverage tools such as DataStudio and Looker to create impactful visualizations. These tools will help to drive decision-making and identify opportunities for profitable growth within our global operations.
• Work closely with departments such as Supplier Operations, Warehousing, and Engineering to develop data solutions that enhance operational efficiency. Share insights, evaluate projects, and contribute to the scaling of effective practices across the supply chain.
• Support the ongoing optimization of our data infrastructure, troubleshoot data-related issues, and continuously improve our databases and data warehouses.
• Document all engineering processes and ensure compliance with data governance and best practices. Maintain detailed records that can be referenced to enhance future projects.

What You’ll Need

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other related quantitative STEM disciplines with a strong academic record.
• Advanced proficiency in SQL, including knowledge of aggregate functions, joins, etc. Familiarity with BigQuery, Vertica, and other database technologies.Hands-on experience with Python and other programming languages like R and Bash.
• Understanding of Git for version control.
• Experience with data engineering tools such as DBT/Dataforms, Airflow, and platforms like GCP.Strong experience in backend data warehousing, data processing, and big data technologies.Practical experience in designing, implementing, and maintaining large-scale data warehouses and conducting quantitative analyses on large datasets.
• Experience with data modeling and visualization tools such as Tableau, Looker, and DataStudio.Strong numerical and analytical abilities with a keen interest in data engineering and analytics. 
• Experience in quantitative roles within business intelligence, data science, or engineering is highly desirable.High attention to detail and proven ability to manage multiple priorities simultaneously.
• A solution-oriented and intellectually curious mindset; committed to delivering fast results and continuously learning.
• Excellent written and verbal communication skills; able to effectively collaborate as part of a highly collaborative team.Experience in e-commerce or supply chain environments is a plus.

An Important Note about Wayfair's In-Office Policy:

All Boston-based 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.

Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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 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.