Associate Director, Data Science Marketing Optimization

Boston, MA

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Wayfair.com is a leader in the e-commerce space for all things home. Wayfair’s community of Data Scientists are obsessed with using data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and provide a unique purchase and delivery experience. Come help us innovate and grow to our next $10B in revenue!   

We are looking for an experienced Machine Learning & Data Science leader for a team focused on developing platforms to optimize marketing investment & strategy across our entire marketing portfolio, influencing the experience of our customers across all of our sites, apps, and marketing channels. As a leading performance marketing company, Wayfair has a long history of innovation in machine learning, marketing attribution, & statistical measurement to drive efficient and incremental marketing at scale, across well over $1B annual marketing spend and a growing international footprint. You and your team will get an opportunity to work with one of the largest e-commerce datasets out there, come up with innovative algorithms and solutions, and work with a growing team of ~150 to test these solutions in live experiments, and implement them as scalable production systems

What You'll Do

  • Lead a team solving novel optimization, resource allocation, media mix optimization and economic problems to best guide Wayfair’s marketing investments to maximize profit
  • Work with cross-functional teams of marketing leadership, scientists, engineers, & analysts, to devise implementation and experimentation strategies to support optimal marketing investments
  • Partner with marketers to understand pain points and translate them into clear and robust data science solutions
  • Think outside of the current technology/stack limitations to push the boundaries on what is possible and deliver feasible solutions collaboratively
  • Champion open source solutions and Google Cloud native technologies, and their application to our use cases
  • Build and own execution of a technical roadmap, ensuring that the vision aligns with broader company objectives
  • Build and manage a group of high performing data scientists and help grow the organization through mentorship and developing learning opportunities
  • Promote a culture of data science excellence and strengthen the technical expertise of our engineering and marketing teams 

What You'll Need 

  • 7-8 years of experience in data science and machine learning including designing and building production models at scale
  • 3+ years experience managing data science teams
  • Direct experience building systems to guide enterprise scale Marketing investment levels & budget allocation, based on Media Mix Modeling (MMM) or other forms of data driven marketing attribution 
  • Experience developing data pipelines, and orchestrating deployment of ML, economic or  optimization models at scale, and running experiments to validate your models
  • Excellent communication skills with demonstrated experience building alignment on technical & data science roadmaps with business leadership
  • Hands-on experience driving data science development in close collaboration with business leaders within high-growth environments at scale
  • Excellent organizational, analytical, and hypothesis- driven critical thinking skills to transform data into actionable insights
  • Track record of delivering novel data science solutions in an advertising space
  • Experience working on an industry-standard machine-learning stack (Hadoop/Bigquery, Spark, Python, Jupyter) and are comfortable leading a team working with these tools

Nice to Have

  • Mix of start-up and large-company experience working on machine learning & data science solutions
  • Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them at scale

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.

Tags: BigQuery Data pipelines E-commerce Engineering GCP Google Cloud Hadoop Jupyter Machine Learning Open Source Pipelines Python Spark

Perks/benefits: Career development Startup environment

Region: North America
Country: United States
Job stats:  3  0  0
Category: Leadership Jobs

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