: Senior Data Scientist, Paid Search

Senior Data Scientist, Paid Search

Boston, MA

The Data Science Marketing team at Wayfair develops machine-learned models and algorithms to drive business impact across a multitude of marketing channels; Paid Search, Display & Social Ads, Direct Mail, Email Marketing and Push Notifications to name a few. We partner closely with our Marketing and Engineering counterparts in order to create opportunities and uncover new efficiencies and channels to reach a wide range of customers.

The Data Science Marketing team is looking for a Senior Data Scientist to join the Paid Search Team in order to work within our next generation of Paid Search bidding platform, along with partnering with our internal Marketing and Engineering teams.

What You'll Do

  • Responsible for the data science components of our Paid Search platform which makes up one of the biggest marketing channels for Wayfair
  • Work on scaling up an already large base of tens of millions of keywords and Products being bid on a high-frequency basis
  • Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
  • Develop quantitative models, leveraging machine learning and advanced data & statistical analysis techniques
  • Architect and build technical platforms for our algorithmic engines to run at scale
  • Leverage our work in order to increase adoption across the organization, to drive real business value
  • Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
  • Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers

What You'll Need

  • 3+ years of experience in a quantitative or technical work environment or advanced degree (PhD) in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research etc.)
  • Ability to effectively partner with cross-functional leads: strong communication skills, ability to synthesize conclusions for non-technical experts and desire to influence business decisions
  • Good intuition of how quantitative and technical work aligns closely with business priorities and business value
  • Machine Learning experience in a professional setting (e.g., supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
  • High comfort level with programming, e.g. languages such as Python, R, Scala, SQL, etc
  • Experience with big data tools: Hadoop, Spark, etc.
  • Ability to thrive in a dynamic environment where there can be degrees of ambiguity
  • Bonus points for intellectual curiosity and a strong desire to always be learning

About Us:

Wayfair is one of the worlds 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, were 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 youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. Were 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. Thats why were 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, or genetic information.



Full-time