Every person is unique, but we all have something in common: the need for safe, clean water. And it’s only by bringing together people with diverse ideas, perspectives, and backgrounds that we can solve the complex water problems of our changing world.

　　At Trojan Technologies, we believe success for all comes from the contributions of every single one of us. That’s why we foster an environment where every associate has a voice, is valued and respected, and feels safe sharing their thoughts. After all, sharing our different viewpoints and experiences is what enables us to find creative and innovative ways to accomplish our shared goals.

　　Trojan is proud to be bringing water and environmental businesses together under the unified purpose of safeguarding the world’s most vital natural resources. Want to ensure the world has the clean water it needs? Then become part of the team that’s making it happen.

　　In this role, you will:

　　Work with both structured and unstructured data to provide insights (customer interactions, UV system operations, service opportunities)

　　Create and maintain consistency in reporting data insights.

　　Collaborate cross functionally to develop new data insight initiatives.

　　Lead the problem-solving process to address issues and opportunities, collaborating with R&D, Operations, Service, Sales and Marketing teams to meet key performance indicators.

　　Leverage VES (Veralto Enterprise System) tools to initiate and champion impactful and sustainable kaizens/events to drive continuous improvement to processes related to growing our digital infrastructure of our install base.

　　Are you qualified? The essential requirements of the job include:

　　Experience finding and reporting insights using statistics, machine learning and visualization tools, including proficient using Business Intelligence (BI) tools, such as PowerBI

　　Experience with a variety of database types (SQL/NoSQL, columnar, object-oriented) and diverse data formats, and familiarity with querying data using SQL/KQL

　　Experience executing ETL processes and developing data models by integrating information from multiple sources.

　　Demonstrated experience of developing supervised and unsupervised machine learning models (classification, regression, clustering)

　　Proficiency in handling time series data through Python libraries (Pandas, NumPy, Matplotlib, Scikit-learn, PySpark) for data cleansing and development of statistical and machine learning models.

　　It would be a plus if you also possess previous experience in:

　　BS degree in Information Science, Computer Science, Analytics, or equivalent.At Trojan Technologies we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Trojan Technologies can provide.

　　At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

　　If you’ve ever wondered what’s within you, there’s no better time to find out.

　　Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.