Data Science Tech Lead

Boston, MA

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Wayfair Inc.
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Posted 3 weeks ago

Who We Are

At Wayfair, data drives all of our business decisions. The Marketing Data Science team develops machine learning models and reinforcement learning systems to power algorithmic decision-making across paid and owned media and marketing channels, including Paid Search, Display & Social Ads, Direct Mail, Email Marketing, and Push Notifications, etc. These channels drive millions of site visits and billions of dollars of GRS to our business.

We are looking for an experienced data scientist to join the Data Science Marketing team, to lead development of scalable algorithms and platforms that optimize Wayfair’s marketing decisions across different channels. As a tech lead, you will develop, organize, and launch projects that span engineering and marketing organizations. You will process petabytes of data to build customer-centric ML models and power high-frequency, customer-level, decision-making systems. You will work together with other data scientists, as well as multiple marketing and engineering teams, to solve one of our most impactful and intellectually challenging data science problems at Wayfair. 

What You'll Do

  • Use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty
  • Uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
  • Leverage our work in order to increase adoption across our business partners, to drive real business value
  • Develop quantitative models, leveraging machine learning and advanced data analysis techniques
  • Architect and build technical platforms for our algorithmic engines to run at scale
  • Strong partnership with business and engineering teams
  • Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data

What You'll Need

  • 4+ years of industry experience in data science / machine learning
  • Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
  • Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
  • Experience with GCP, Airflow, and containerization (Docker) are nice to have
  • A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
  • Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions

 

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.

Job tags: Airflow Big Data Engineering Hadoop Java Machine Learning Marketing ML Python R Spark SQL
Job region(s): North America
Job stats:  8  1  0
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