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Decision Engineer Jobs in Gary, IN (NOW HIRING)

AI & Decision Intelligence Director

Chicago, IL ยท On-site

$135K - $236K/yr

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning ... Strong programming and analytical skills, including experience with Python, SQL, and modern ...

Senior Decision Technology Analyst

Chicago, IL ยท On-site

$74K - $138K/yr

Proficiency in Python and the ability to apply programming skills to develop, test, implement, and ... Data driven decision making - In-depth. Salary : $74,000.00 - $138,000.00 Pay Type: Salaried The ...

Tech Lead Manager, Decision Platform

Chicago, IL ยท On-site

$19 - $21.25/hr

Tech Lead Manager, Decision Platform Chime is looking for an engineering leader to help manage and guide one of the Trust & Safety engineering teams. Chime's Trust & Safety org is on a mission to ...

Posted today

... Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work ...

Civil Engineer

Chicago, IL ยท On-site

$125 - $150/hr

Strong analytical, problem-solving, and decision-making skills. * Excellent verbal, written, and ... Professional Engineer (PE) license strongly preferred. * Advanced experience with utility ...

Resident Engineer

Frankfort, IL ยท On-site

$66K - $120K/yr

As a Resident Engineer at Robinson, you will have the opportunity to coordinate and monitor all ... Excellent problem-solving and decision-making skills * Excellent organizational, planning, and ...

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Decision Engineer information

See Gary, IN salary details

$36.3K

$106.8K

$136.8K

How much do decision engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for decision engineer in Gary, IN is $106,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $135,300.00 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 Gary, IN are hiring for Decision Engineer jobs?

Cities near Gary, IN with the most Decision Engineer job openings:

AI & Decision Intelligence Director

Vizient, Inc.

Chicago, IL โ€ข On-site

$135K - $236K/yr

Full-time

Re-posted yesterday


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary: In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role identifies high-impact business opportunities, develops and deploys practical AI-driven solutions, and delivers capabilities that improve commercial decision-making, forecasting, customer intelligence, and organizational productivity. Serving as the strategic leader and hands-on builder for AI and decision intelligence, this role translates business challenges into scalable solutions and partners with Marketing, Sales, Revenue Operations, Analytics, Technology, and other cross-functional teams to deliver measurable business value.

Responsibility: Lead AI & Automation Innovation Develop and execute the Revenue Intelligence AI, machine learning, and intelligent automation roadmap. Identify, evaluate, and prioritize high-value AI and automation use cases across commercial functions. Translate business challenges into scalable AI, machine learning, predictive analytics, and automation solutions.

Serve as a trusted advisor on emerging AI technologies and their practical business applications. Build AI-Powered Intelligence Solutions Design, develop, deploy, and monitor machine learning, predictive analytics, and AI-powered solutions in production environments. Create forecasting, propensity, recommendation, customer intelligence, and decision-support models that improve commercial decision-making.

Build agentic AI and large language model (LLM)-powered applications and workflows that enhance productivity and insight generation. Apply advanced analytics techniques to uncover opportunities and improve commercial outcomes. Drive Intelligent Automation Design and implement automation solutions that streamline insight generation, reporting, and decision-support processes.

Improve efficiency and productivity through scalable automation capabilities and repeatable delivery frameworks. Deliver Business Impact Establish AI, machine learning, and automation best practices and scalable delivery frameworks within Revenue Intelligence. Partner cross-functionally to align solutions with strategic business priorities and measurable outcomes.

Measure adoption, performance, and value realization of AI and automation initiatives. Manage external vendors and contractor resources supporting delivery efforts. Qualifications Relevant degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related field preferred.

7 or more years of experience required. Experience in AI, machine learning, data science, predictive analytics, or intelligent automation preferred. Experience developing and deploying machine learning or AI solutions in production environments.

Experience building solutions using large language models (LLMs), agentic AI, and emerging AI technologies. Experience with predictive modeling, forecasting, propensity modeling, recommendation models, customer intelligence, or decision-support capabilities. Experience designing and implementing intelligent automation solutions that drive measurable business value.

Strong programming and analytical skills, including experience with Python, SQL, and modern analytics platforms. Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to business stakeholders and executive leaders. Ability to influence and collaborate effectively across functions and manage external vendors or consulting partners.

Experience working within large B2B organizations. Experience with Azure AI, Azure OpenAI, Databricks, and Power Platform. Experience building customer intelligence, recommendation, or decision intelligence platforms.

Experience working with commercial analytics, revenue intelligence, or go-to-market organizations. #LI-JS1 Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range.

Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00. This position is also incentive eligible

Vizient has a comprehensive benefits plan. Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.