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Decision Engineer Jobs (NOW HIRING)

Humana, Inc.

Lead Decision Intelligence Engineer - NBA

$104K - $138K/yr

We are seeking a skilled Decision Intelligence Engineer to design, train, and continuously improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. In this role ...

Humana

Lead Decision Intelligence Engineer - NBA

$104K - $138K/yr

We are seeking a skilled Decision Intelligence Engineer to design, train, and continuously improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. In this role ...

Humana

Lead Decision Intelligence Engineer - NBA

$104K - $138K/yr

We are seeking a skilled Decision Intelligence Engineer to design, train, and continuously improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. In this role ...

ClifyX

Decision Intelligence Engineer

Louisville, KY · On-site

ClifyX is seeking a Decision Intelligence Engineer to build and deploy enterprise-scale decision systems. The role requires hands-on experience with various reinforcement learning methods and a deep ...

Highmark Health

Decision Support Analyst

Determines how decision support systems will provide information required to make effective ... Developand maintainmoderate- to extremely-complex computer programs using 4GL programming languages ...

Amerilife Group, LLC

... decision. Engineer features and pipelines on the Lakehouse that serve both your models and your ... agents. Design the measurement. Baselines, holdouts, A/B and quasi‑experimental designs, and a ...

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Decision Engineer information

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$36.5K

$107.3K

$137.5K

How much do decision engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for decision engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 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.

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Decision Engineer jobs near you
Infographic showing various Decision Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Decision Engineering Team Lead, Manufacturing & Supply Chain

Manhattan, NY • On-site

Fluidstack
See more jobs at Fluidstackexternal

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

Overview:

We are hiring a Decision Engineering Team Lead for the Manufacturing & Supply Chain team. You'll lead a small team of Decision Engineers (AI Software Engineers) building AI-powered tools and decision systems that make manufacturing and supply chain workflows significantly more productive, while still shipping hands-on. You'll set technical direction, own the team's delivery bar, grow engineers, and partner with leadership to pick the highest-impact AI augmentation bets.

Responsibilities:

  • Lead a small team of Decision Engineers, setting technical direction and owning the bar for what ships

  • Still build hands-on: personally ship the highest-leverage AI tools and agents for manufacturing and supply chain workflows

  • Own the team's delivery: identify the highest-impact AI augmentation opportunities across manufacturing and supply chain workflows and turn them into shipped tools with measurable productivity gains

  • Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and shared skills the wider organization builds on

  • Grow the engineers on your team through review, direction, and hiring

  • Partner with team and functional leadership to translate their goals into an AI tooling roadmap

Requirements:

  • 7+ years of software engineering experience with 2+ years leading a team while still coding

  • Track record shipping production systems in supply chain, manufacturing, logistics, or automation domains

  • Production-grade code in Go, Python, and TypeScript, with strong full-stack skills building web applications (React, Next.js, or similar frameworks)

  • Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks

  • Deep understanding of AI coding agent tools including Claude Code and Cursor, and the agent frameworks around them

  • Technical depth to review architecture and unblock engineers, not just manage

  • Ownership mentality: you can define a roadmap and execute without heavy process support

  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders

  • Nice to have: experience at a fast-scaling automation, robotics, or supply chain software company

Benefits:

  • Competitive total compensation package (cash + equity)

  • Health, dental, and vision insurance

  • Retirement plan

  • Generous PTO policy

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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