Senior Data Scientist - Emerging Products Marketing Optimization

About the team: The Kairos Data Science Marketing team is a team of scientists, engineers, and a product manager responsible for building a highly scalable ML-based “customer understanding” platform. We process petabytes of data and 20k+ customer features to train machine learning models and optimization algorithms that help us predict, as accurately and as early as possible,  what the customer needs, what makes them unique, where they are in the consideration cycle, and more. Our ML products are leveraged across the enterprise to drive many downstream content, targeting, bidding, and other decisions across many channels and placements. We have a global scope and power decisions across all Wayfair markets (US, Canada, EU) and stores (Wayfair, AllModern, Joss & Main, Perigold, and Birchlane).

About the role (DS): We are looking for a technical lead to join Wayfair’s Kairos Data Science team, to own the Share of Voice (SOV) Decision Optimization model suite. You’ll develop and maintain optimization models for product and content recommendations by optimizing both for which products are relevant to a customer as well as which products Wayfair wants to promote. Growing our new-and-emerging categories of products is a major investment by Wayfair, so you will also have the opportunity to interact with a variety of business stakeholders in order to define the scope of the SOV models and their respective experiments.

Who you are: 

• Advanced degree (Master or PhD) in Computer Science, Economics, Statistics or other quantitative field with an emphasis on causal inference and/or experimental design.
• 5+ years of experience working as a professional data scientist. Consistent track record of autonomous delivery of DS/ML projects that drive measurable business impact. 
• Experience working within a team, using collaborative methodologies like Agile/Scrum/Kanban etc.
• Expertise in optimization, experience in multi-objective optimization techniques.
• Experience in e-commerce and/or marketing data science.
• Leadership experience, both in mentoring as well as project management.
• Track-record of influencing non-technical stakeholders on strategic direction by leveraging data-driven insights; excellent written and verbal communication.
• Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization
• Proficient in Python.
• Nice-to-haves:
• Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker)
• Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.

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, or genetic information.