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Decision Engineer Jobs in Indiana (NOW HIRING)

Electrical Engineer

Shelbyville, IN · On-site

$90K - $120K/yr

ELECTRICAL ENGINEER Reports to: VP Engineering, Maintenance and Environmental Job Summary: The ... Competencies : ▪ Managing People - Includes staff in planning, decision-making, facilitating and ...

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... decision-making and driving business growth. Those in artificial intelligence and machine learning ...

The Manufacturing Process Engineer plays a key role in improving manufacturing performance by ... Support lean manufacturing efforts and data-driven decision making. * Document findings and present ...

The Manufacturing Process Engineer plays a key role in improving manufacturing performance by ... Support lean manufacturing efforts and data-driven decision making. * Document findings and present ...

Manufacturing Engineer

Elkhart, IN

$69K - $89K/yr

Strong analytical and data-driven decision-making abilities. Preferred Experience * Process ... engineer who can identify opportunities, build business cases for improvement, and successfully ...

Manufacturing Engineer

Elkhart, IN · On-site

$69K - $89K/yr

Strong analytical and data-driven decision-making abilities. Preferred Experience * Process ... engineer who can identify opportunities, build business cases for improvement, and successfully ...

Sr Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners ...

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Decision Engineer information

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.

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 Decision Engineers?

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.

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 in Indiana are hiring for Decision Engineer jobs? Cities in Indiana with the most Decision Engineer job openings:

Electrical Engineer

Toray

Shelbyville, IN • On-site

$90K - $120K/yr

Full-time

Re-posted yesterday


Job description


ELECTRICAL ENGINEER JOB DESCRIPTION


Reports to: VP Engineering, Maintenance and Environmental


Job Summary:

The Electrical Engineer provides engineering and project management services for the entire

manufacturing operation. PLC programming, HMI & operator display programming, AC/DC Drive

configurations, calculate project cost estimates, design of drawing packages and specifications,

contractor and equipment bids and selection, purchase requisitions, project cost accounting,

scheduling, and oversight of projects, troubleshooting manufacturing equipment, electrical

maintenance in support of production and facilities.

Primary responsibility:

• Maintain and troubleshoot manufacturing automation systems, including but not limited to

PLCs, HMIs, SCADA systems (plc messaging, middleware, and SQL).

• Modifying and testing manufacturing process equipment; consulting with equipment vendors.

• Maintain and troubleshoot various types of automation instrumentation and devices such as

servo drives, variable frequency drives, barcode/RFID readers, and I/O.

• Assist other IS members in the development of systems solutions.

• Assist in troubleshooting connectivity and reliability issues which affect the collection of

process data.


Knowledge of and/or Training on the following:

• Knowledge of or willingness to learn interfacing with other business systems, such as ERP or

MES.

• Knowledge of or willingness to learn configuration, testing, and debugging to support the

organization's MES system.

Consider this job description the foundation of your responsibilities - not the boundaries.


Competencies:

▪ Managing People - Includes staff in planning, decision-making, facilitating and process

improvement; Takes responsibility for subordinates' activities; Makes self-available to staff;

Provides regular performance feedback; Develops subordinates' skills and encourages growth;

Solicits and applies customer feedback (internal and external); Fosters quality focus in others;

Improves processes, products and services.; Continually works to improve supervisory skills.

▪ Visionary Leadership - Displays passion and optimism; Inspires respect and trust. Mobilizes

others to fulfill the vision. Provides vision and inspiration to peers and subordinates.

▪ Motivation - Sets and achieves challenging goals; Demonstrates persistence and overcomes

obstacles; Measures self against standard of excellence; Takes calculated risks to accomplish

goals.


Job Requirements and Qualifications:

▪ Bachelor’s degree in electrical engineering or automation engineering technology or

equivalent.

▪ 5-7 years of experience in Industrial Electricity and controls.

▪ A full understanding of analog, digital, and logic circuits.

▪ Experience in installing and troubleshooting PLCs, variable frequency drives, and power

distribution systems.

▪ Experience with PLC programming, HMI, OPC, and SCADA Systems.

▪ Preferred but not required is having experience or understanding of MES and Historian

Systems.

▪ Capable of installing and commissioning new or retrofitted automated equipment and able to

modify and write PLC logic.

▪ Knowledge of integrated controls and familiarity with communication platforms

▪ Ability to use standard desktop applications such as Microsoft Office, Internet, and

industry-specific applications.





































































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