Associate Director, Forecasting Data Science

Key Skills

Google Dataflow, Python Programming, SQL, Azure, AWS, RDBMS, Apache Hadoop, NoSQL, Google Cloud Platform (GCP), SPARK Programming, Apache Flink, Forecasting, Time series, Apache Beam, Kimball methodology

Job Description

Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace. From empowering suppliers to easily add products to our catalog to enabling our customers to discover and purchase a vast and diverse assortment of home goods, providing them the necessary sales and service support along their journey

The forecasting science team consists of data scientists, machine learning engineers, and economists who are responsible for owning and managing large-scale forecasting systems to enable demand planning and supply maximization. We develop econometric, statistical, machine learning, and hybrid forecasting models to drive operational excellence throughout our supply chain.

We’re looking for an Associate Director with a background in time series and ML forecasting to lead the Forecasting Science team at Wayfair. This leader will own the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups that govern the production of demand forecasts at various granularities and integration with downstream supply planning systems. The primary focus will be on developing algorithmic systems for:

1. Demand forecasting for inventory replenishment
2. Substitution-aware forecasting
3. Causal and what-if simulations
4. Development of forecasting platform/products with a focus on re-use across adjacent forecasting use-cases

This is an ideal opportunity for a leader who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact on customers' end-to-end experience through advanced data science and machine learning techniques.

What You’ll Do 

• Lead a team of data scientists, economists, and machine learning engineers in developing next-generation forecasting products
• Formulate team strategy and priorities in the forecasting space while identifying and solving high-impact ML problems
• Collaborate with product, analytics, engineering, and other teams to develop robust and scalable platform solutions
• Mentor and empower team members and develop a high-performance team culture

What You’ll Need

• 6+ years of experience leading multi-disciplinary technical teams of scientists, analysts, and engineers of varying levels of experience. Track record of developing and managing high-performing teams
• 3+ years experience managing technical or science teams in forecasting
• Thorough command of general data science, machine learning, and time series techniques
• Track record of delivering large cross-functional projects and managing multiple stakeholders with competing priorities
• Communication skills that can influence across organizations and at all levels - Strong verbal and written communication skills, ability to synthesize conclusions for non-experts

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.