Data Science Sustainability Co-Op (Summer & Fall 2024)

Company Description

Who we are:

To be the leading producer of glass bottles and jars worldwide you need passion, commitment and innovation baked into the very fabric of a business and its people. For more than 120 years, our glass makers have honed their craft—channeling their creativity into more than 1,800 patents held today. When you join O-I you become part of that story.

O-I has more than a century of experience crafting pure, sustainable, brand-building glass packaging for many of the world’s best-known food and beverage brands. We are proud to provide high quality glass packaging for beer, wine, spirits, food, non-alcoholic beverages, cosmetics and pharmaceuticals. We are dedicated to make what matters to shape a healthier, more sustainable and more exciting world. We transform the industry to make glass more relevant and more accessible to more people.

Job Description

About the role:

Do you have a passion for using data science to solve real-world environmental challenges? Are you eager to contribute to a sustainable future for high-impact industries? If so, this internship is for you!

We are seeking a highly motivated and talented intern to join our team working at the intersection of data science and sustainability (preferably a graduate student or a senior majoring in Mathematics/Statistics or computer science to work in the Sustainability and Global Engineering groups.

The co-op is expected to run for 7 months June through December and will be conducted either at our world headquarters in Perrysburg, OH, or remotely.

This position supports primarily the Global Sustainability group. 

Throughout your internship, you’ll be exposed to meaningful projects and mentorship opportunities. 

Your main responsibilities include:

• Data Analyses and visualization:

1. Modernize existing models to leverage the latest advancements in data science.
   1. Assess a large volume of data, analyze, and organize it in a meaningful manner with  visualization software.
   2. Utilize mathematical and statistical methods to develop predictive models. Analyze large datasets to identify relevant variables and patterns. Validate and optimize models using techniques such as cross-validations.

• Communication: Interpret model results, design and create clear, informative analytics dashboards to effectively communicate insights to stakeholders.

• Adhere to quality and safety systems and maintain quality and safety standards.

• Plan and execute independent work within the team.
• Devise and implement approaches to solve problems.

Qualifications

About you:

We think you’ll thrive if you are:

• Skilled at Building Partnerships: You enjoy collaborating and building relationships as you work toward a common goal. You actively engage team members by soliciting input and enhancing ideas to achieve a great result.
• Highly Analytical: You are able to analyze data and interpret results to make decisions
• Solutions-Oriented: You thoroughly evaluate options and employ sound analysis and judgment before choosing your course of action. You consider the facts, potential benefits and consequences when taking action.
• Highly Adaptable: You actively seek out information about new environments. You enjoy trying different approaches and adjust effectively when work conditions, structure, or surroundings change.
• Able to Apply Learnings: You readily assimilate new information, put it to practical use and continue learning through trial and error.
• Comfortable Defining your Path: You are not limited by a structured, predefined path. You know where you want to go and enjoy the challenge of figuring out how to get there.
• Geographically Mobile: You are interested in a career that takes you to multiple locations as you advance.
• Able to Communicate Effectively: You communicate effectively both verbally and in written formats in a professional manner. You are willing to share your unique thoughts and creative ideas in confident and persuasive way.

Key Required Skills and Qualifications:

• You're Pursuing a master’s or bachelor's degree (senior) in Mathematics, Statistics, Computer Science, Data Science, or other quantitative fields.
• Strong mathematical background with coursework in calculus, linear algebra, probability, and statistics.
• Strong passion for data science and its application to sustainability challenges.
• Proficiency in a programming environment like Python or