Data Systems Engineer
Springdale, AR
$70K DOE

Description:

* Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements
* Lead technical projects with diverse teams while staying on-time and within budget
* communicate processes and findings effectively at all levels of the organization
* Engage the organization deeper into problem solving efforts utilizing performance metrics, cost components, quality data, design parameters, machine parameters, process characteristics, etc., using various tools including but not limited to:
* Business intelligence Suites
* Databases
* Reporting Tools
* Statistical Analytical Software
* Perform “What if” analysis and communicate recommendations to both operational and IT leaders
* Collaborate with other Engineers and IT resources to maximize use of manufacturing systems
* Identify and correct data limitations (e.g. signal / noise ratio, sample size, inconsistencies, missing values, corruption, etc.)
* Design and implement dashboards and key metric scorecards
* Determine potential causes of problems and devise data testing methodologies for validation
* Search and prove questions with peers and process experts that ultimately leads to action and recommendations
* Guide and direct small teams to achieve project objectives including the set up and execution of smart manufacturing deployment across multiple locations
* Streamline and improve existing data analytics tools within the continuous improvement processes and systems
* Use data, best practices and Kaizen methodologies to increase process efficiency and reduce operational cost

Qualifications

* Bachelor’s Degree required
* Minimum of 2 years of experience with data systems processes and improvement strategies
* At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net or equivalents
* At lease 1 year Microsoft Office experience especially with Teams, Excel and PowerPoint
* Legally authorized to work in the US without company sponsorship provided. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position

Preferred Qualifications:

* Bachelor’s Degree in Engineering, Data Science or related field
* Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership to drive effective decision making
* Strong analytical and problem-solving skills with the ability to develop and use structured approaches to identify root causes and recommend solutions
* Good verbal and written communication skills
* Experience with SMART Manufacturing or Industry 4.0