Applied Analytics & ML Product Builder

You’re purpose driven. Growth minded. Ready to stretch your potential. That’s the spirit of the community you’ll find at Orbia: where the purpose to advance life around the world drives our global team of over 23,000 every single day. 

From creating solutions to deliver clean water, secure food supplies and reliable information to steering material advances that power the future of green and smart cities, transportation, and healthcare, we never settle for “good enough” when there’s an opportunity to make life better. Where purpose comes to life, it changes lives. This is what we live for.

MAIN PURPOSE

This role is designed to build practical, low-overhead analytics and ML/AI tools that support decision-making and productivity across OFEM functions, while simultaneously raising internal analytics fluency and helping the organization learn where advanced analytics can (and cannot) realistically scale.

This is not a large‑scale automation role or a centralized AI helpdesk. Instead, it is a hands‑on, product-oriented builder role focused on rapid learning, transparent constraints, and durable value. The role acts as a seed capability, generating evidence to guide future analytics organization design.

KEY RESPONSIBILITIES

This role builds practical, high‑impact analytics and decision‑support tools across R&D, Manufacturing, Quality, Supply Chain, Finance, and Strategy/BI, with a strong emphasis on clarity, insight, and improved decision‑making rather than automation for its own sake. The individual curates and structures data from existing sources—including reports, dashboards, exports, LIMS summaries, and historian aggregates—to enable faster, more reliable analysis.

Work spans a portfolio of proofs of concept, from rapid, low‑friction tools that generate near‑term learning and time savings (e.g., internal BI or document search and summarization tools, trend and variability analysis for plant, QC, cost, or R&D data, and simplified data structures for recurring calculations such as cost or P&L rollups), to deeper exploratory efforts that assess where advanced analytics could scale (e.g., energy and throughput trade‑off analysis tools, early‑warning or root‑cause exploration combining plant, quality, and deviation data, or structure–property relationship analysis for electrolyte molecules). Machine learning, optimization, or predictive methods are applied selectively and pragmatically, where they provide meaningful incremental insight. All work is executed transparently within known data access, quality, and system limitations, with clear documentation of assumptions, data gaps, access challenges, and scalability constraints.

As the role matures, the individual is expected to share learnings and practices with peers by collaborating closely with domain experts, co‑building tools to improve usability and adoption, participating in informal knowledge‑sharing sessions, offering ad‑hoc guidance during office hours, and contributing to lightweight internal guides or playbooks.

The role collaborates closely with IT, BI, and enterprise digital teams to ensure continuity and supports transition of durable tools once stabilized; it does not own production systems long‑term. Work is prioritized with guidance from a small AI/Analytics alignment group representing business units and functions. Typical time allocation is approximately 70% hands‑on analytics and tool building, 20% teaching and coaching, and 10% coordination, learning, and transition planning.

COMPLEXITY OF THE JOB 

• Cross functional projects that cut across geographies.
• Requires direct engagement with stakeholders, including senior management at times, to influence and ‘sell’ projects/changes.

EDUCATION, EXPERIENCE, LANGUAGE, & PHYSICAL REQUIREMENTS 

Required

• Bachelor’s degree in a technical field (Chemical Engineering strongly preferred)
• Master’s degree or equivalent training in Data Science, Analytics, or a related field
• Comfort working hands-on with data, code, and analytical tools
• Ability to understand business and technical problems before jumping to solutions
• Strong communication skills, and willingness to teach and document work clearly

Desired

• Exposure to manufacturing, R&D, or industrial data
• Experience during internships or projects demonstrating practical impact

If you are excited about this role and your experience and competencies somewhat align with the qualification in the posting, we encourage you to apply. Everywhere you are, you bring your unique skills, talents and perspective to moving your career, the company, people and the planet forward. You may be just the right candidate for this or other roles! 

Where purpose comes to life, it changes lives. This is what working at Orbia is all about.

Orbia is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status, or any other status protected by federal, state or local law.

Dura-Line and Koura have developed and maintain a written Affirmative Action Program (AAP).  Orbia's Chief Executive Officer supports the AAP and urges each employee to commit to carrying out the intent of this policy.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws.  We are committed to working with and providing reasonable accommodations to individuals with disabilities. Please reach out to our People Team at Careers.KouraUS@orbia.com to receive the application form in a more accessible format, or to arrange an accommodation / adjustment to support your participation throughout the recruitment process.

Applicants and employees of this company are protected under Federal law from discrimination on protected grounds. Follow the link(s) above to find out more:

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