Senior Manager, Data Science Analytics

Wayfair Analytics is the engine that powers an enterprise obsessed with data, where Data Science plays an ever-increasing role in how we serve our customers. This role will directly enable the growth of the Product Information Extraction (PIE) project at Wayfair. The team is responsible for programmatically extracting, imputing and validating product information to streamline the addition of new products into the catalog. Our objective is to improve both the end customer experience and Wayfair’s internal efficiency by ensuring product investment throughout the value chain. The team heavily leverages Data Science and Machine Learning, as well as Analytics, to achieve these goals.

The Data Science Analytics team leverages Wayfair’s huge datasets to inform the roadmap of our Data Science / Machine Learning development. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists and product managers who are on the leading edge of Data Science. 

In this role, you can expect to lead a team to integrate our Data Science-driven recommendations into new use cases within Wayfair, working closely with business stakeholders and product managers to drive measurable outcomes. You / your team will work closely with product managers, data scientists and engineers to define, implement, and maintain key metrics that inform the health / successes of our product. You / your team will do exploratory data analysis to generate new insights & inform our roadmap. 

What You'll Do

• You will be responsible for managing a team of data analysts that are embedded in our data science workstreams. Set a high bar and level up the team's technical capabilities and business awareness

• Influence cross-functional executive leaders across the organization through communicating key insights and recommendations. You will have to persuade stakeholders with differing levels of analytical proficiency

• Define the 6-12 month strategic analytics roadmap for the team, in collaboration with our stakeholders

• Build and innovate scalable processes for model performance monitoring and related components like data quality and data engineering. Also responsible for metrics definition, reporting and translating into business KPI impact

• Cooperate closely with Data Scientists, Engineers and business stakeholders, contributing to the cross-functional partnership, strategy and roadmap

• Further build the team and an inclusive working environment by creating and developing the team vision, strategy and OKRs

• Partner closely with tech enablement teams in Infrastructure and Data Engineering, and influence their roadmap based on the needs of the data science team

• Uncover and understand insights hidden in our vast repository of raw data, provide and share tactical guidance on how to act on findings

• Set a high bar and level up the team's technical capabilities and business strategic thinking

• Deliver presentations with compelling visualization and storytelling to business stakeholders, to support data-driven decision making and ultimately enhance the experience of our customers and our suppliers

What You'll Need 

• 5+ years of work experience in a data analytical role wrangling with large-scale data

• Demonstrated ability to build, develop and manage high performing team to deliver business impact with track record, particularly in a cross-functional and multi-stakeholder environments

• Strong quantitative skills, knowledge and experience with various analytical methods including statistics and experimentation. 

• Strong communication skills – ability to synthesize conclusions for non-experts and desire to influence business direction

• Experience in aligning quantitative and technical work closely with business priorities and business value

• Mastery of writing SQL queries;  experience with programming (Python/R), big data frameworks and cloud-based analytics tools (preferably GCP)

• Prior hands on experience of building tools, reporting and analytics for performance evaluation of machine learning models

• Strive in a dynamic, fast paced environment

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.