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A leading company in specialty chemicals is seeking a Data Scientist to optimize production processes through data analytics. The role involves analyzing complex data sets, developing predictive models, and implementing AI-driven solutions to enhance operational efficiency. Candidates should have strong skills in Python, R, and SQL, along with experience in operational technology and data integration.
Arxada is a global specialty chemicals business committed to solving the world's toughest preservation challenges through better science. With a proud history of innovation spanning over a century, we aim to develop sustainable solutions that protect health and extend the lifespan of vital infrastructure, while reducing ecological footprints.
Sustainable preservation is a top priority. We are making strategic investments to decrease our environmental impact and help customers adapt to long-term environmental and social changes through cleaner, greener solutions.
The Data Scientist Operations plays a crucial role in optimizing production processes and productivity by applying data analytics and insights to solve business problems within the production environment. The role involves analyzing complex data sets, developing predictive models, and implementing AI-driven solutions to enhance operational efficiency.
The successful candidate will work closely with business operations to communicate productivity insights through data and collaborate with IT teams to understand data, application, and infrastructure dependencies. A strong background in data structures, analytics, AI, and operational technology is essential, along with familiarity with OSISoft and Seeq solutions.
Arxada offers world-class solutions in two main areas:
Arxada is committed to diversity and inclusion. All qualified applicants will receive consideration regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability status, veteran status, or any other protected characteristic.