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Applied Scientist

Job in Seattle, King County, Washington, 98127, USA
Listing for: Beacon Roofing Supply, Inc
Full Time position
Listed on 2026-03-06
Job specializations:
  • Business
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 191000 - 345000 USD Yearly USD 191000.00 345000.00 YEAR
Job Description & How to Apply Below
Position: Staff Applied Scientist

We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution.

QXO is a publicly traded company founded by Brad Jacobs with the goal of building the market-leading company in the building products distribution industry. On April 30, 2025, QXO completed its first acquisition:
Beacon Building Products, a leading distributor in the sector.

We are building a customer-focused, tech-enabled, and innovation-driven business that will scale rapidly through accretive M&A, organic growth, and greenfield expansion. Our strategy is rooted in delivering exceptional customer experiences, improving operational efficiency, and leveraging data, digital tools, and AI to modernize a historically under-digitized industry.

What you’ll do:

Modeling & Research
  • Forecasting
    • Build and product ionize time series models for demand, sales, and inventory (e.g., hierarchical forecasting, intermittent demand, seasonality/trend modeling, multivariate forecasting).
    • Develop approaches to handle sparse, volatile, and evolving data environments.
  • Pricing & Revenue
    • Develop pricing models and policies, including elasticity estimation, margin optimization, and discounting/contract structures.
    • Support pricing for quotes and BOMs, including guardrails, risk/margin checks, and complex B2B rules around bundling and substitution.
  • Supply Chain & Inventory
    • Design models for inventory planning, replenishment, and allocation under real-world constraints (lead times, MOQs, service levels).
    • Build tools to improve fill rates, reduce stockouts, and manage working capital.
    • Formulate and solve optimization problems (linear, mixed‑integer, non‑linear, heuristics/approximation) for routing, allocation, capacity, and network flows.
    • Integrate optimization with forecasting/pricing models to support end‑to‑end decisions.
  • Across all areas
    • Combine statistical methods, machine learning, and operations research techniques as appropriate.
    • Stay current on relevant research and bring practical, scalable methods into production.
Decision Systems & Product Integration
  • Translate messy business problems into clear technical formulations and evaluate alternative approaches.
  • Work with engineers to turn models into robust services powering internal tools, APIs, and AI agents (e.g., quoting & BOM agents, pricing copilots, supply planning tools).
  • Build or contribute to simulation and scenario analysis frameworks to test policies before rollout.
  • Define and implement offline and online evaluation (experiments, policy evaluation, counterfactual analysis).
Data, Measurement & Experimentation
  • Partner with data engineering to ensure data quality, structure, and accessibility for modeling.
  • Define metrics for your domain (forecast accuracy, stockouts, margin impact, quote win rates, price realization, etc.).
  • Design experiments and quasi-experiments to measure the business impact of new models and policies.
  • Clearly communicate findings, trade‑offs, and recommendations to stakeholders.
Collaboration & Leadership
  • Work closely with Sales, Marketing, Supply Chain, Finance, and Product teams to understand constraints, workflows, and incentives.
  • Collaborate with AI Engineers who will embed your models inside intelligent agents and applications.
  • Mentor other scientists and engineers; elevate standards around methodology, code quality, and evaluation.
  • Influence roadmap and strategy by highlighting long‑term modeling opportunities and risks.
What you’ll bring:
Required
  • 7+ years of experience in Applied Science / Data Science / Quantitative Research, with a strong record of shipping models into production.
  • Deep expertise in one or more of the following:
    • Time series forecasting
    • Pricing & revenue management
    • Supply chain / inventory / logistics modeling
    • Operations research / mathematical optimization
  • Strong proficiency in Python and scientific computing libraries (Num Py, pandas, etc.).
  • Solid SQL skills and experience working with modern data warehouses/lake houses.
  • Hands‑on experience designing experiments, analyzing results, and working with ambiguous real‑world data.
  • Excellent communication skills and demonstrated ability to lead projects…
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