Product Manager -Pricing Profitability Data Science

Wayfair's Pricing & Profitability team is seeking a sharp, driven product manager to drive key strategic initiatives through data science and technology.  The product manager will work closely with data science, engineering and business teams to build scalable algorithms that predict and influence pricing, gross margin, supply chain demand, and more. He or she will act as the subject matter expert for Wayfair’s various data science algorithms.  The data science product manager will be able to drive meaningful impact in an increasingly complex landscape by owning cross-functional planning and implementation for these algorithms and their interfaces with other internal systems.  He or she will manage the critical balance between innovation and stability by utilizing an agile engineering team to incorporate monitoring, alerting, and error protection into various data science systems.  This role is ideal for someone who's both business and tech-savvy and thrives in a fast-paced environment.

Overview of pricing:

At its core, the Pricing & Profitability team leverages data and technology to hit financial goals and optimize our value offering to customers. The Pricing & Profitability team develops algorithms and tools that optimize and manage profit, revenue, and price perception. The team uses a combination of business, big data, and stat skills to understand complex market phenomena to influence pricing, assortment, and product recommendations. A continuous flow of experiments ensures deeper insight and refinement of these tools and algorithms. The product manager works alongside the Pricing & Profitability team to develop roadmaps and drive the technology behind these initiatives.

Responsibilities:

  • Develop strategic technical roadmap and balance roadmap with short-term bug fixes and quick-hit projects.
  • Work directly with a large team of data scientists and backend engineers to create new products and maintain a safe interface with other Wayfair systems.
  • Run agile sprints for a team of backend engineers.
  • Create buy-in for upcoming projects with internal teams and senior management.
  • Translate high-level business projects into detailed technical deliverables, and project manage to completion.
  • Act as subject-matter expert on all data science systems and technologies to non-technical stakeholders.
  • Conduct analysis to track value and impact of initiatives.
  • Influence future strategies across a diverse range of internal teams.
  • Anticipate and react rapidly to changes in business needs and project scope

Example projects:

  • Inventory forecasting model to predict monthly need for each one of our 20 million products in various warehouse locations.
  • Cannibalization rate model to understand substitutability between products.
  • Badging model to determine intrinsic value of product flags, including sale, financing, and shipping.

Ideal qualities:

  • Ability to lead discussion and guide a group to smart decisions even when you are not the subject matter expert.
  • Scrappy, with the ability to change direction quickly.
  • Exceptional problem solving and analytical skills alongside a desire to solve some of Wayfair's most challenging problems.
  • 3+ years of experience in a consulting, analytic, or technical role.
  • Confidence and a senior presence when presenting projects, data, and plans to senior leadership.
  • Degree in econ, math, econ, computer science, or other quantitative concentration preferred
  • Understanding of statistics.
  • Positive, people-oriented, and enthusiastic.
  • You do not have to have experience manipulating large datasets or have SQL/Python experience, but a strong desire to learn is a must.

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