Head of Pricing & Forecasting Science, Global Supplier Technology
Head of Pricing & Forecasting Science, Global Supplier Technology
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Job Description
The salary range for this position is $216000 - $228000. Base pay offered may vary depending on location job-related knowledge skills and experience. Restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered.
Who We Are:
The Pricing Profitability and Demand Forecasting group is a team of approximately 20 full-time economists and ML scientists. We are a collaborative and lively scientific community working at the core of Wayfairs commercial strategy. Our team partners closely with engineering data science product and commercial leaders to solve complex challenges and shape the companys future through the strategic application of science. As the leader of this group you will be central to this mission guiding the teams that drive our technical and business impact.
What Youll Do:
- Lead the technical strategy for the pricing profitability and forecasting organization to solve large complex problems in measurement prediction optimization and forecasting.
- Design and build scalable solutions that ensure system interoperability and scientific rigor.
- Integrate underlying models into a unified technology platform that supports stakeholders with diverse needs helping them reach sound causal conclusions.
- Grow and develop a high performing science team by mentoring and providing guidance to junior team members to enhance their skills.
- Collaborate with leaders in engineering product management data science and business leadership to address complex problems holistically.
- Influence company-wide strategic decisions in the pricing space by translating complex ideas for non-technical audiences.
Were Excited About You Because You Have:
- PhD in quantitative fields (Economics Quantitative Marketing Statistics Computer Science Operations Research etc.).
- 7 years of industry experience in one or more of the following: observational causal inference experimentation or building and maintaining large-scale measurement systems.
- 2 years of industry experience managing individual contributors as well as managers in a high performing science organization.
- Proficient coding skills: advanced experience in Python for machine learning and causal inference along with familiarity with workflow tools (e.g. Airflow Composer) for batch and real-time processes and cloud-native technologies.
- A proven track record of delivering large-scale technical projects with significant business impact.
- The ability to work closely with senior business stakeholders translate complex ideas for non-experts and influence strategic decisions at the Director level.
Nice to have:
- Experience in building optimization algorithms powered by causal inference system in price marketing or ads
- Experience in scaling causal inference models that blend observational and experimental data.
- Familiarity with GCP and Vertex AI.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were 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 youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were 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. Thats why were 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 genetic information or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Required Experience:
Exec
Employment Type
Full Time
