SR. DATA MANUFACTURING ENGINEER

ASR Group is the worlds largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In the European Union, the company owns and operates sugar refineries in England, Portugal. ASR Group also owns and operates mills in Mexico and Belize. The companys brand portfolio includes the leading brands Domino, C&H, Redpath, Tate & Lyle, Lyles and Sidul.

Overview

This position requires a candidate with expertise in managing databases and SCADA solutions. The role involves integrating data from various sources, including SAP and other systems, while ensuring the validity and integrity of the data. The candidate will also be responsible for developing and optimizing SCADA and manufacturing solutions. A significant part of the role involves building innovative solutions for manufacturing optimization using AI / ML techniques and process simulations.

The ideal candidate will have a keen interest in production processes and operations, with a constant drive to seek opportunities for improvement. The person should have a strong analytical mindset, focusing on using data to provide actionable insights and recommendations.

This role requires a self-directed, resourceful individual who can work independently, yet excels in collaborating with cross-functional teams to support and enhance manufacturing processes.

Responsibilities

• Develop and maintain corporate production website using Web Server technologies and .Net, ensuring a smooth integration of production data and other relevant information.
• Develop and maintain MSSQL data solutions, refine SQL queries and objects, and enhance database performance and security.
• Validate and integrate data from SAP and other sources to ensure quality and consistency.
• Integrate and optimize industrial automation systems using Wonderware Systems Platform & OSI PI Historian Platforms.
• Perform data analysis, modeling, and scripting using Python and Matlab to support various projects.
• Build datapiplines and asset frameworks in OSI PI and Datahub
• Apply advanced analytics AI / ML techniques to develop predictive and prescriptive quality and maintenance solutions
• Analyze data and models to provide actionable insights and recommendations.
• Collaborate with cross-functional teams to design and implement data science projects aimed at improving manufacturing processes.
• Integrate process modeling techniques with control systems to improve overall plant performance.
• Stay updated with the latest advancements in data science, advanced analytics, and manufacturing technologies.

Qualifications

Required Education and Work Experince

Preferred Qualification and Education

Supervisory Responsibilites

Travel Requiements

Location

Baltimore, MD

SALARY PAY RANGE : $91,000 - $169,000 plus bonus

The pay rate for the successful candidate will depend on the candidates qualifications and prior experience.

Benefits include healthcare (medical, dental, vision, prescription drugs) available the first of the month following 30 days of employment, 401(k) with match, life insurance, AD&D, short-term disability, vacation, holiday and sick time.

We are an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, gender, sexual orientation, gender identity, age, national origin, disability, veteran status or any other category protected under federal, state, or local law. All employment is decided on the basis of qualifications, merit, and business need.

Salary : $91,000 - $169,000