Join the IPG Team! Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions—we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you! This position can be based out of Marysville, MI, or work remotely with some travel as needed. Title: Senior Data Scientist Department: Research and Development Immediate Supervisor: R&D Vice President Status: Exempt Salaried Position Purpose: The Senior Data Scientist will support R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles. Principle Accountabilities - Partner with polymer scientists, chemists, and engineers to support bio‑polymer research and development using data-driven methods - Analyze and model experimental, formulation, and process data to identify structure–property–process relationships - Develop predictive models to support: - Material performance and property optimization - Formulation design and screening - Scale‑up and process optimization - Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines - Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis - Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets - Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D - Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders - Understanding of data visualization best practices - Experience working with batch or streaming data processes a plus - Contribute to data dictionaries and process flow diagrams for complex data solutions - Mentor junior data scientists or technical staff and contribute to data science best practices within R&D - Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research Essential Skills and Experience - Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master’s or PhD preferred - 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred - Strong proficiency in Python and/or R for data analysis and modeling - Solid experience with SQL and working with structured and semi-structured datasets - Strong foundation in statistics, experimental design, and multivariate analysis - Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data - Ability to work effectively in a cross-functional R&D environment - Strong communication skills with the ability to translate complex analyses into actionable insights - Familiarity with bio‑polymers, sustainable materials, or polymer processing, preferred - Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred - Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred - Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred - Prior experience mentoring or leading technical projects, preferred Why Choose IPG? At IPG, you will find more than just a job—you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive. Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people. With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish! We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG. You belong here. Join us today!

Role Description Du möchtest flexibel vor Ort oder Remote arbeiten, aber dennoch etwas bewirken? Dann bist du als Tutor*in bei TEACHY genau richtig! Unser sympathisches Startup bietet professionelle Nachhilfe für Schüler*innen und Berufstätige aller Stufen, Level und Fächer. Durch unser einzigartiges Matchmaking-System sorgen wir für die perfekte Passung zwischen dir und deinen Schüler*innen. - Langfristige Unterstützung auf dem Bildungsweg der Schüler*innen - Individueller Unterricht, in dem du hilfst, mit deinem Wissen Lücken zu schließen und den Lernstoff zu verstehen - Individuelle Förderung deiner Schüler*innen - Terminabsprache mit Schüler*innen und anschließende Buchung mit unserem unkomplizierten Online-System - Regelmäßiges Feedback an unsere Kundenbetreuung über den Fortschritt deiner Schüler*innen Qualifications - Du bist einfühlsam, empathisch und motivierend - Laufendes oder abgeschlossenes Studium in Mathe oder in vergleichbaren Richtungen, fortgeschrittene Kenntnisse - Interesse für die Themen Individualförderung und Pädagogik - Da wir ein schweizer Unternehmen sind, können wir leider nur Bewerbungen aus der Schweiz berücksichtigen Benefits - Flexibel gestaltbare Unterrichtszeiten - Lohn trotz kurzfristiger Absagen dank 24-Stunden-Regel - Ein engagiertes Team, das dir alle administrativen Aufgaben abnimmt - Eine kostenlose, pädagogische Ausbildung basierend auf den aktuellsten Erkenntnissen der Lernforschung - Auf dein Lernvorlieben-Profil abgestimmte Schüler*innen - Langfristige Lehraufträge - Eine Lernmittelbibliothek für fachlichen Input - Ein Tutor Kit sowie persönliche Ansprechpartner, die dich bei der Gestaltung deines Unterrichts unterstützen - Eine sinnstiftende Arbeit, mit der du den Lebensweg deiner Schüler*innen langfristig mitgestaltest

Description and Requirements Key Responsibilities: Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance. Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods. Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models. Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions. Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications. Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders. Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams. Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities. Develop predictive models for churn prediction, and lead scoring aligned with workflows. Collaborate on Power BI dashboards to operationalize insights for business stakeholders. Ensure adherence to GDPR and Regional Data policies for all ML workflows. Mentor junior team members and lead technical design discussions. About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid

• Provide substantive, timely feedback to students on various assessment activities • Maintain a positive, safe, inclusive student-centric learning environment • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics) • Maintain appropriate professional training and/or scholarly activities, when applicable • Provide feedback to the course lead regarding the course content • Identify at-risk students and collaborate with student services