This role is responsible for providing technical and sustaining engineering support for planning and production process improvement projects across Treat Operations, with a strong focus on data-driven decision making and business analytics. The successful candidate will act as a hybrid Process Engineer / Data Scientist, leveraging advanced analytics to transform data into actionable insights, clarify operational issues in Yokohama Treat, and deliver end-to-end solutions.
The role analyzes current practices and implements modifications to improve productivity, lead time and inventory control, and quality through data-driven and software-enabled initiatives. It develops and conducts statistical analyses such as Design of Experiments (DOE) and Statistical Process Control (SPC) to identify physical causes of variation and drive continuous improvement. The position works closely with product/process design, software development, validation, and site functions to ensure that processes and designs are compatible and scalable.
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Provide technical support to internal clients (Production, Planning, Training, NPD, Clinical, etc.) as part of a Global Engineering Team.
- Partner with planning, software/validation, and business analytics teams to analyze, design, and implement improvements for current processes and digital tools.
- Deploy, maintain, and improve Standard Work; drive stability and scalability of core planning and production processes.
- Conduct studies to analyze root causes (Pareto, 5-Why, fishbone) and deliver feasible corrective and preventive actions.
- Plan, prioritize, and execute projects aligned with organizational goals; track benefits (productivity, lead time and inventory, cost, quality).
- Estimate manufacturing cost, determine standard times, and recommend tooling/process/automation requirements for new or existing product lines.
- Build dashboards and decision-support tools for capacity, inventory, and lead time management; maintain data sources and inputs with stakeholders.
- Perform business process and data analysis; proactively detect gaps and opportunities; convert insights into operational actions.
- Apply the DIKW model to transform raw data into actionable wisdom; clarify operational problems and deliver solutions for Treat Operations.
- Lead hypothesis-driven analyses using statistical modeling and machine learning to validate strategies and optimize operations (e.g., forecasting, anomaly detection, optimization).
- Develop and maintain decision support tools; present key findings to influence decision-making for cross-functional stakeholders.
- Influence and negotiate with global stakeholders to align requirements, timelines, and trade-offs; manage risks and facilitate change adoption.
SCOPE & COMPLEXITY
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Works on problems of diverse scope where analysis of data requires evaluation of identifiable and ambiguous factors. Demonstrates sound judgment in selecting methods and techniques for obtaining solutions. Resolves a wide range of issues in creative, pragmatic ways, and networks with senior internal and external personnel in area(s) of expertise.
EXPERTISE
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A seasoned, experienced professional with a full understanding of process engineering, operations planning, and data science. Fully qualified, career‑oriented, and expected to independently contribute while influencing others through expertise and data.
SUPERVISION
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Structures and manages the execution of project/program tasks with general supervision and limited guidance; recommends new approaches; mentors junior engineers/analysts as needed.
EDUCATION & EXPERIENCE
- Bachelor’s degree in Engineering, Industrial Engineering, Operations Research, Computer Science, or Data Science required; Master’s preferred.
- Typically 4–6 years of directly related experience in process/industrial engineering, operations planning, business analytics, data science, or manufacturing excellence.
LANGUAGES
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English: Fluent (must) for global negotiation/coordination. Japanese: Business level (preferred).
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Standard Work, e.g., Lean, Six Sigma; root cause analysis; DOE/SPC; capability analysis.
- Advanced Excel, Power BI, and SQL for data extraction, transformation, and visualization; KPI design and dashboarding.
- Python or R for analytics and data science (e.g., pandas, NumPy, scikit‑learn/statsmodels, time‑series forecasting, optimization/OR).
- Experience building decision‑support tools for capacity, inventory, and lead time management; data quality and governance awareness.
- Basic knowledge of software development concepts and databases; familiarity with PHP, Java, or .NET is a plus.
- Basic project management (charter, schedule, risk/RAID, stakeholder management).
Your growth and well-being:
At Align, every smile matters. We’re committed to helping you thrive by supporting the health, growth, and well-being of our team members through a variety of tools and programs. While specific offerings may vary by location and role, Align employees can typically expect:
- Health and well-being programs to keep you thriving in both body and mind.
- Employee-exclusive discounts on Invisalign products.
- Learning opportunities through online learning resources and support for your individual development plans.
- Inclusive, global workplace that fosters collaboration, recognition and belonging.
Country and/or role specific details will be shared with you by your recruiter during the interview process.
Discover Align:
We are a global community of game-changers and smart team players, united by our belief in the power of a smile. Our dynamic team of exceptional employees is dedicated to transforming the industry and creating extraordinary outcomes every day.
Align’s core values of agility, customer, and accountability are more than words to work by, they are words we live by. The actions we take every day speak to who we are as a company and our focus on being truly impactful. We celebrate our differences, and the many ways we support one another— ultimately creating a more inclusive organization and world as we continue transforming smiles and changing lives.
We foster a culture where thinking differently and seeking new experiences are not just encouraged but celebrated. With the Align Mindset, we empower each other, ensuring every voice is heard and valued in an inclusive environment that inspires creativity and collaboration.
At Align, we believe in the power of a smile, and we know that every smile is as unique as our employees. As we grow, we are committed to building a workforce rich in diverse cultural backgrounds and life experiences, fostering a culture of open-mindedness and compassion. We live our company values by promoting healthy people and healthy communities, all with the intent of changing millions of lives, one unique smile at a time.
As part of our commitment to innovation, Align Technology includes exocad and Cubicure, companies that enhance our offerings and extend our impact to industry transformation.
Eager to learn how we embrace our global differences and nurture employee well-being?
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Equal Opportunity Statement:
Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.
