Senior Applied Scientist

QXO is a leading distributor and installer of building products serving an $800 billion market. The companys mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North Americas 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 .

Modeling & Research

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

Forecasting

o Build and productionize time series models for demand sales and inventory (e.g. hierarchical forecasting intermittent demand seasonality/trend modeling multivariate forecasting).

o Develop approaches to handle sparse volatile and evolving data environments.

Pricing & Revenue

o Develop pricing models and policies including elasticity estimation margin optimization and discounting/contract structures.

o Support pricing for quotes and BOMs including guardrails risk/margin checks and complex B2B rules around bundling and substitution.

Supply Chain & Inventory

o Design models for inventory planning replenishment and allocation under real-world constraints (lead times MOQs service levels).

o Build tools to improve fill rates reduce stockouts and manage working capital.

o Formulate and solve optimization problems (linear mixed-integer non-linear heuristics/approximation) for routing allocation capacity and network flows.

o Integrate optimization with forecasting/pricing models to support end-to-end decisions.

Across all areas youll:

o Combine statistical methods machine learning and operations research techniques as appropriate.

o Stay current on relevant research and bring practical scalable methods into production.

Decision Systems & Product Integration

o Translate messy business problems into clear technical formulations and evaluate alternative approaches.

o 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).

o Build or contribute to simulation and scenario analysis frameworks to test policies before rollout.

o Define and implement offline and online evaluation (experiments policy evaluation counterfactual analysis).

Data Measurement & Experimentation

o Partner with data engineering to ensure data quality structure and accessibility for modeling.

o Define metrics for your domain (forecast accuracy stockouts margin impact quote win rates price realization etc.).

o Design experiments and quasi-experiments to measure the business impact of new models and policies.

o Clearly communicate findings trade-offs and recommendations to stakeholders.

Collaboration & Leadership

o Work closely with Sales Marketing Supply Chain Finance and Product teams to understand constraints workflows and incentives.

o Collaborate with AI Engineers who will embed your models inside intelligent agents and applications.

o Mentor other scientists and engineers; elevate standards around methodology code quality and evaluation.

o Influence roadmap and strategy by highlighting long-term modeling opportunities and risks.

• 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.

• 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.