4 Manufacturing jobs in Union Star

**What You Will Do**
+ Learn about the manufacturing process.
+ Investigate process improvements and downtime reduction.
+ Training of shop floor employees on process changes.
**How You Will Do It**
+ Assisting the process engineers with real time troubleshooting and process improvements.
+ Developing work instructions and One Point Lessons of process changes.
+ Analyzing data of downtime and process inefficiencies.
**What We Look For**
+ Currently enrolled as a full-time student at an accredited U.S. college or university
+ Pursuing an undergraduate in Engineering.
+ Duration: Summer 2026. Up to 40 hours per week. Part-time during the school year may be available.
+ Working Arrangements: On-site based at our manufacturing facility in St. Joseph, MO.
+ PLEASE NOTE that applicants must be authorized to work for any employer in the US without the need for sponsorship, now or in the future.
**What We Do Here**
St. Joseph, Missouri is home to our assembly plant which manufactures automotive and marine batteries. Several of our customers, including the world's largest automotive manufacturers, recognized us for supplier excellence. We opened in 1973 and now employ more than 620 people and operate six days per week. We are actively involved in our local community and give back through The United Way, United Cerebral Palsy and Camp Quality.
#LI-CC
#LI-ONSITE
**What you get:**
+ Global market strength and worldwide market share leadership
+ HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility
+ Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction.
**Who we are:**
Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities.
**Veterans/Military Spouses:**
We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report ( . We want you to know your rights ( because EEO is the law.
**A Note to Job Applicants:** please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.
**To all recruitment agencies** : Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Clarios is the creator behind the world's most recognizable car battery brands. We are the car battery found in most new vehicles including leading brands such as Ford, General Motors, Toyota, Honda, and Nissan. Our 16,000 employees develop, manufacture, and distribute batteries for virtually every type of vehicle. We recover, recycle, and reuse up to 99% of our battery materials, leading sustainability practices in our industry.
**A Note to Job Applicants** : Please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

Why Join Altec?

Altec is looking for Manufacturing Engineers - Entry Level/New Grad to join the team located in St. Joseph, MO ! Our engineers work collaboratively to implement lean principles throughout the facility, support manufacturing and the field with existing products, and may work with New Product Development teams.

Building on over 95 years of growth and success, Altec specializes in the design, manufacture, sale, and service of aerial devices, digger derricks, cranes, and specialty equipment, supporting customers in over 100 countries throughout the world. Altec is an innovative, financially sound company that is leading the industry and setting the standard of excellence.

Qualifications

• Pursuing an ABET EAC certified degree in Engineering required
  • A degree in one of the following majors preferred :
    • Mechanical Engineering
    • Industrial Engineering
    • Agricultural Engineering
    • Aerospace Engineering
• Completion of Degree prior to start date required
• Excellent written and verbal communication skills
• Must be able to work with team members and work with minimal supervision
• Must be willing to travel up to 25% of the time, potentially on short notice, which may include flying
• Prior interaction with Altec team at a recruitment event or past intern/coop exp with Altec highly preferred

Responsibilities

• Ensures manufacturing is building product in conformance to current engineering documentation
• Reviews the design of components and parts for design-for-manufacturability
• Monitors costs, manpower efficiency, machine capability, space utilization, etc. and recommend as appropriate revisions in manufacturing methods
• Participates and leads continuous improvement efforts in the areas of Quality, Cost, Delivery, Safety, and Productivity
• Leads the integration of new designs into Manufacturing
• Drives implementation of capital projects
• Participates and contribute productively as part of Altec's team-oriented design, manufacture and customer service/support efforts
• Operates with some decision-making latitude within the scope of an assignment
• Knows and applies fundamental concepts, practices, and procedures in the engineering field
• Supports Operations, Sales, and Service
• Interfaces directly with Suppliers and Customers
• Utilizes Lean principles to improve our products and processes
• May manage various sizes of Altec projects and/or act as Team Lead.

Customer First - Enjoyment of Work - Family- Financial Stability - Integrity - People Are Our Greatest Strength - Quality - Spiritual Development - Teamwork

Altec offers a competitive salary that rewards performance and dedication, along with a comprehensive benefits package that includes:

• Medical, Dental and Prescription Drug Program
• Retirement 401(k) Program
• Vacation and Holidays
• Flexible Spending Accounts
• Tuition Assistance Program
• Employee Assistance and Mental Health/Substance Abuse Program
• Life Insurance, Accidental Death and Dismemberment Insurance
• Onsite employee medical facility

Altec Industries, Inc. and its affiliates are equal opportunity employers and maintain affirmative action plans to recruit, retain, develop, and promote qualified individuals without unlawful consideration of race, gender, color, religion, sexual orientation, national origin, age, disability, citizenship status, veteran status, or any other characteristic protected by federal, state or local law. Altec strives to maintain a work environment free from unlawful discrimination and harassment, where associates are treated with respect and dignity.

**Description**
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
The basic purpose of the Data Scientist IV, Manufacturing Science and Technology role is to deliver successful data science projects. The incumbent will be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout the product lifecycle. This role will facilitate, distill and integrate data science information into the technical body of knowledge for BIAH products and processes.
The Data Scientist IV, Manufacturing Science and Technology will explore data analytics innovations to support future definition of manufacturing platforms & processes.
**Duties & Responsibilities**
Be the "go to" expert for data science within Manufacturing Science and Technology, for BIAH products and processes throughout product/process lifecycle:
+ Uses data scientific techniques to uncover processes & correlations to expand & improve the body of knowledge for BIAH products & technology.
+ Delivers optimized solutions for data mining, aligning data processing, predictive analysis and transform data into knowledgeable and understandable information.
+ Partners with business units to develop dashboards and applications utilizing data for smart decision making.
+ Promotes collaboration & knowledge exchange with other data science teams within and outside the organization.
+ Provides thought leadership, research best practices, conduct experiments, & partner with industry leaders.
Facilitates, distills, and integrates data science information into the technical body of knowledge for BIAH products and processes:
+ Uses data scientific techniques to uncover processes & correlations that expand and improve the body of knowledge for BIAH products & technology.
+ Leads exchange and advocate for continual improved use of data across global and local Manufacturing Science and Technology teams.
+ Identifies and resolves causes of poor data quality management, implements solutions & communicates findings.
+ Actively supports all aspects of the BI data governance standards and programs.
+ Continually develops and maintains an appropriate individual level of theoretical and practical expertise to respond to the needs of BIAH.
Explores data analytics innovation to support future definition of manufacturing platforms & processes:
+ Actively networks on a regular basis with internal and external partners.
+ Autonomously seeks out new ways of using & connecting data for use in existing or new manufacturing processes.
+ Autonomously researches and recommends future-oriented platforms for analytics enablement efforts.
As needed, delivers successful data science projects:
+ Understands manufacturing / supply problems and designs end-to-end data science use cases
+ Collaborates across Global Supply to understand data, IT and business constraints.
+ Prioritizes, scopes, & measures relevant Key Performance Indicators/Objectives & Key Results for success.
+ Collaborates with Global / Local Manufacturing Science and Technology, Supply Chain, and the Supply Network to deploy scalable solutions.
+ Establishes data operational best practices and maintain all compliance requirements.
+ Establishes the monitoring of data science models in production.
+ Uses agile approach to initiatives and launches.
+ Ensures & measures customer satisfaction.
**Requirements**
+ Master's in data science discipline or related degree with a minimum of eight (8) years industrial experience in Data Science, Predictive Analytics, or Cognitive Analytics.
OR
+ Bachelor's degree in data science discipline or related degree with a minimum of ten (10) years of industrial experience in various data science disciplines (Data Science, Computer Science/Business Intelligence, Predictive Analytics, Cognitive Analytics).
+ Statistics, Computer Science, Data Science certifications in a industrial quantitative performance disciplines preferred.
+ Machine/Deep Learning, CRISP-DM, and Real-time MVDA certifications preferred.
+ Experienced in structuring data sets from unstructured data or big data (MapReduce approaches, HDFS, Hadoop architectures, Pig, Spark).
+ Expertise in data engineering and contextualization of batch and attribute data by managing pharmaceutical object-oriented programmatic methodologies; specifically, PostgreSQL, Kubernetes, WebAPI, SQL, C#, GO, React, .Net, Java, GraphDB/GraphQL, InfluxDB, MongoDB, OSI PI, R, Python, SAS JMP, Spotfire/Tableau, SASEntreprise, Inmation/VisualKPI, SIMCA, SIMCA-online, and Grafana.
+ Demonstrated expertise in the time-series batch execution systems, ISA-88 batch execution sequencing and contextualization, creating and executing advanced pharmaceutical batch modeling algorithms, interpreting results, distilling solutions and reports for a business stakeholders that facilitate process awareness and improvements in predictability of critical parameters and quality attributes.
+ Demonstrated expertise in project and change management within the Pharmaceutical Industry
+ Ability to rapidly develop analytical problem-solving approaches to complex problems, including external constraints such as resource limitations, feasibility topics, consumption by business, change management aspects, etc.
+ Strong expertise in relevant methods and skills such as machine learning, advanced statistics, algebra, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modeling, causal inference methods, Bayesian networks, Markov random fields, text analysis, etc.
+ Demonstrated understanding and ability to apply principles, concepts, practices, and standards including knowledge and use of Animal Health or Pharma data and working knowledge of industry practices.
+ Demonstrated ability to clearly and concisely communicate ideas, facts, and technical information to senior management, as well as internal customers both verbally and written.
+ Well-developed understanding of data hygiene as well as data enrichment.
+ Experienced in handling data bases including ability to run queries.
+ Basic understanding of web scraping and text processing.
+ Sound knowledge in scripting languages such as PHP, Perl, Bash.
**Desired Skills, Experience and Abilities**
**Additional Requirements** :
+ Strong intrinsic appetite to develop technical skills.
+ Fluency in English required - fluency in French, Spanish, and German to support the interactions with other BI Network sites and stakeholders are preferred.
+ Willingness to travel domestically and internationally.
+ Demonstrated international/intercultural technical collaboration.
+ Demonstrated ability to identify and analyze problems, evaluate alternatives, and implement effective solutions.
+ Ability to work independently with a high degree of accuracy and attention to detail in the fast-paced environment.
+ Sharp analytical abilities and proven statistics skills.
**Eligibility Requirements** :
+ Must be legally authorized to work in the United States without restriction.
+ Must be willing to take a drug test and post-offer physical (if required).
+ Must be 18 years of age or older.
All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.