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Scientific Computing Jobs in Seattle, WA (NOW HIRING)

Staff Applied Scientist

Seattle, WA · On-site

$191K - $345K/yr

Strong proficiency in Python and scientific computing libraries (NumPy, pandas, etc.). * Solid SQL skills and experience working with modern data warehouses/lakehouses. * Hands-on experience ...

Our quantum computing services are available through all major cloud providers, while we also meet ... You will work directly with product, science, engineering, applications, sales and executive teams ...

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Scientific Computing information

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How much do scientific computing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for scientific computing in Seattle, WA is $35.82, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.67 per hour, depending on experience, location, and employer.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What are the most commonly searched types of Scientific Computing jobs in Seattle, WA?

The most popular types of Scientific Computing jobs in Seattle, WA are:

What are popular job titles related to Scientific Computing jobs in Seattle, WA?

For Scientific Computing jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Scientific Computing jobs in Seattle, WA look for?

The top searched job categories for Scientific Computing jobs in Seattle, WA are:

Infographic showing various Scientific Computing job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $74,510 per year, or $35.8 per hour.

Staff Applied Scientist

QXO

Seattle, WA • On-site

$191K - $345K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


QXO rating

8.0

Company rating: 8.0 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

120th of 423 rated retail wholesalers


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
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, you'll:
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.
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 (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
  • Base pay range: $191,000 - $345,000
  • Annual performance bonus
  • Long term incentive (equity/stock)
  • 401(k) with employer match
  • Medical, dental, and vision insurance
  • PTO, company holidays, and parental leave
  • Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.
  • 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.
To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.
Please contact careers@QXO.com if you have any questions related to this job posting.
Salary Range:
USD $191,000.00 - USD $345,400.00 /Yr.

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