Mobile Machine Learning Jobs in Zion, IL (NOW HIRING)

Job Description:

Since its founding more than 100 years ago, ITW has become one of the world’s leading diversified manufacturers of specialized industrial equipment, consumables, and related service businesses. We place a high premium on developing innovative solutions–most of which are developed in tandem with our customers. And we continue to ensure that our customers receive timely, cost-effective service for our innovative products.
ITW’s differentiated business model comprises unique core capabilities: our proprietary 80/20 business process, customer-back innovation, and our well-known decentralized entrepreneurial culture. These capabilities are unmistakably ITW—and key to our longevity and strong performance.
ITW’s products and solutions are at work all over the world, in deep-sea oil rigs, aerospace technology, bridges and wind turbines, healthcare, the spaces in which we live and work, the cars we drive, and the mobile devices we rely on. We are never, whether we know it or not, more than a few steps from an innovative ITW solution.
ITW (NYSE: ITW) is a Fortune 300 global multi-industry manufacturing leader with revenue of $15.9 billion in 2024. and employs ~44,000 people operating in 51 countries. Our headquarters are in Glenview, IL. include a fitness center at no cost to the employees, a cafe, outdoor volleyball courts, walking trails around the facility, employee resource groups, corporate discounts, dry cleaning services, covered/outdoor parking, and much more. We are just a block away from the nearest Metra station, and it is a quick 20-minute train ride to downtown Chicago, museums, lakefront, and other activities.
More details on our benefits can be found on our website at https://www.itw.com/careers/benefits-compensation/

The Analyst, Global Distribution Operations role is responsible for conducting distribution /supply chain modeling and analysis work in collaboration with Corporate and ITW global business unit teams to drive distribution operational improvements.  The analyst will develop custom code for data integration and utilize advanced analytical tools including database technologies such as PostgreSQL and Microsoft SQL and network modeling tools to collaborate with global teams to develop solutions. Additionally, the Analyst will apply emerging AI and machine learning capabilities to enhance data analysis and process optimization. The Analyst will collect, analyze, and interpret distribution data from both internal and external sources while incorporating key ITW principles into daily work, processes, and deliverables.

Responsibilities

This person needs to manage the following tasks:

• Apply supply chain principles and utilize network optimization tools, data visualization platforms, and analytical techniques to design efficient distribution operations throughout ITW
• Work collaboratively with ITW stakeholders on global teams to deliver results customized for ITW businesses.
• Perform data analysis and problem-solving using tools such as Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI)
• Become proficient in applying key ITW principles to drive distribution operational improvements.
• Communicate ideas and concepts effectively both written and oral.
• Apply ITW principles including: 80/20 and USa to solutions.
• Ability to travel ~ 25% Global / Domestic to business units as required.

Requirements

• Bachelor's degree with an emphasis in Supply Chain, Engineering, Data Science or a closely related operational / engineering field is required. MBA or Master of Science in related engineering, Supply Chain or Analytics is a strong plus
• At least one internship or university practicum with a big data focus is required.
• Experience using SQL, including PostgreSQL and/or Microsoft SQL Server, for data extraction, transformation, and analysis
• Experience with network modeling tools (e.g., supply chain design/optimization tools) in a manufacturing or consulting environment
• Strong business acumen and understanding of distribution and supply chain operations
• Demonstrated analytical and problem-solving skills with the ability to leverage data to drive results
• Proficiency with Microsoft Excel
• Demonstrated analytical and problem-solving skills with the ability to leverage data to drive results
• Solid project management and organizational skills
• Ability to manage multiple tasks and priorities effectively
• Adaptability and comfort working in ambiguous environments
• Strong communication skills both written and oral

* ITW's Corporate Sourcing Team is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status.

Compensation Information:

The compensation package for the role offers a competitive base salary ranging from $72k - $77k annually.

ITW considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, geographic location, key skills, as well as market and business considerations.

In addition to a competitive salary, ITW employees in the U.S. are eligible for a comprehensive benefits package. This package includes medical, dental, vision, disability and life insurance programs. We also provide a 401k plan with both a company match and additional employer contribution, Flexible Spending Accounts, Health Savings Accounts, Employee Assistance Program, Commuter benefits, Adoption Assistance

ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 

As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. 

All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.