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Decision Engineer Jobs in Rohnert Park, CA (NOW HIRING)

Block

Principal Security Engineer

Bodega Bay, CA · On-site

Track record of exemplary technical leadership and decision-making at a Principal or equivalent ... Experience improving engineering standards and practices for security, and building systems to ...

Array Labs

Project Engineer

Bodega Bay, CA · Hybrid

$150K - $250K/yr

... decision-making for government and commercial organizations supporting disaster response ... About the Job As a Project Engineer, you will own the execution framework that turns Array Labs ...

Fabrion

DevOps Engineer (Founding Team)

Bodega Bay, CA · On-site

$62.50 - $85.75/hr

... s Engineer (Founding Team) Location: San Francisco Bay Area Type: Full-Time Compensation ... Auditability and replay systems for agent decision-making * Serving fine-tuned or open-source LLMs ...

NIECO, LLC

Mechanical Design Engineer

Windsor, CA · On-site

$75K - $100K/yr

... health decision-making, or any other characteristic protected by federal, state, or local law ... Machinery Manufacturing, Engineering, Design Engineering Employment Type Full-time Requirements:

Nieco LLC

Mechanical Design Engineer

Windsor, CA · On-site

$75K - $100K/yr

... health decision-making, or any other characteristic protected by federal, state, or local law ... Machinery Manufacturing, Engineering, Design Engineering Employment Type Full-time Salary ...

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All JobsDecision Engineer JobsDecision Engineer Jobs in Rohnert Park, CA

Decision Engineer information

See Rohnert Park, CA salary details

$40.4K

$118.8K

$152.3K

How much do decision engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for decision engineer in Rohnert Park, CA is $118,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities near Rohnert Park, CA are hiring for Decision Engineer jobs?

Cities near Rohnert Park, CA with the most Decision Engineer job openings:

Decision Engineer jobs near you
Infographic showing various Decision Engineer job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $118,838 per year, or $57.1 per hour.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Bristlecone

Santa Rosa, CA • On-site

Other

Re-posted 3 days ago

Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!

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