Senior Applied Scientist

QXO; Seattle (WA); Hybrid; USD 159,000 - 287,000; Full time

Benefits offered by this job

401(k) with employer match

Medical, dental, and vision insurance

PTO and holidays

Paid training and certifications

Legal assistance

Job summary

QXO is seeking a data science professional to build and productionize time series models for demand, sales, and inventory, and to design pricing, margin policies, and B2B contract structures. You’ll tackle supply chain planning, optimization problems, and integration with forecasting and pricing modules powering internal tools and AI agents.

You’ll collaborate with Sales, Marketing, Supply Chain, Finance, and Product teams, mentor junior engineers, and help shape the data strategy while

Qualifications

• 2+ years of experience in Applied Science / Data Science / Quantitative Research.
• Proven ability to ship models into production.
• Strong grounding in time series forecasting, pricing, and supply chain modeling.

Responsibilities

• Build and productionize time series models for demand, sales, and inventory.
• Develop pricing models, elasticity estimates, margins, and discounting rules.
• Design optimization solutions for routing, allocation, and capacity.
• Collaborate with cross-functional teams and embed models into internal tools and AI agents.

Skills

Time series forecasting

Pricing & revenue management

Supply chain / inventory / logistics

Operations research / optimization

Python

SQL

Experiment design

Communication

Leadership

Education

MS or PhD in quantitative field

Tools

NumPy

Pandas

SciPy

Job description

QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America’s largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com.

What you'll do:

Modeling & Research

Depending on your expertise, you may focus on some of the following:

• Forecasting
  • Build and productionize 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, you’ll:

• 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

• 2+ years of experience in Applied Science / Data Science / Quantitative Research, with a strong record of shipping models into production.
• Expertise in one or more of the following:
• Time series forecasting
• Pricing & revenue management
• Supply chain / inventory / logistics modeling
• Operations research / mathematical optimization
• Proficiency in Python and scientific computing libraries (NumPy, pandas, etc.).
• Solid SQL skills and experience working with modern data warehouses/lakehouses.
• Hands-on experience designing experiments, analyzing results, and working with ambiguous real-world data.
• Excellent communication skills and demonstrated ability to lead projects spanning multiple teams.

Preferred

• Prior experience in retail, B2B distribution, manufacturing, or the building materials / construction industry.
• Experience with revenue management, discounting, and contract/pricing architectures.
• Experience with supply chain planning systems (MRP/DRP, S&OP) and operational constraints.
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow, JAX).
• Experience integrating models with downstream applications or AI agents, including considerations for latency, reliability, and interpretability.
• Experience with large-scale or distributed data/compute systems and ML platforms (MLOps, feature stores, model registries, CI/CD for models).
• Advanced degree (MS or PhD) in a quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, or a related discipline.

What you'll earn

• 401(k) with employer match
• Medical, dental, and vision insurance
• PTO, company holidays, and parental leave
• Paid training and certifications
• Legal assistance and identity protection
• Pet insurance
• Employee assistance program (EAP)

QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, gender or sexual orientation, national origin, age, disability, or any other protected status.

Tocomply withPay Transparency laws, employers mustdisclosean annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.

Salary Range: USD $159,000.00 - USD $287,000.00 /Yr.