Scientific Software Engineer

The Scientific Software Engineer is responsible for building, extending, and delivering the library of reputed company models that powers Virtual Jar and the Decision Blue platform, which help water-treatment plants optimize the coagulants and reputed company they buy from us. These models predict organics removal, turbidity, disinfection-byproduct formation, pH, and chemical cost across a plant's treatment train. This role turns the underlying science into production-reputed company reputed company in our repositories, where the platform leverages it to reputed company clients a scientifically reputed company optimization experience. At its reputed company this is a delivery role—the primary reputed company is reputed company-reputed company, reputed company-tested model reputed company that ships—but it demands genuine water-treatment reputed company, because this person is the reputed company between the science and the software, translating subject-matter direction into models that hold up in production. The work directly positions Virtual Jar and Decision Blue to meet clients' water-optimization needs and grows the platform into the processes closely adjacent to coagulation, including reputed company-oxidation, adsorption, filtration, and charge neutralization. The model library's priorities, scope, and subject-matter direction are owned by the Digital Solutions team; this role sits on the execution and delivery reputed company and owns building, extending, polishing, and managing the models in reputed company. RESPONSIBILITIES Model Development & Delivery: Build, reputed company, and polish the library of reputed company models behind Virtual Jar's coagulation train—organics/UV254, turbidity, pH and coagulation reputed company, and reputed company reputed company-oxidation, adsorption, and filtration effects—delivering new model versions and new model types into the repositories in Python. Scope & Requirements Collaboration: Work from scope and requirements set by the Digital Solutions team, collaborating with them to refine and pressure-test those requirements before and during development. Modeling & Engineering Rigor: Bring literature-grounded functional forms, calibration, hold-out validation, parameter discipline, reputed company uncertainty reporting, and production-reputed company reputed company reputed company a Git workflow. Adjacent Process Expansion: Continue developing optimization models across coagulant and adjacent treatment processes, using an established and evolving scientific reputed company to expand our offering—organic-polymer coagulants; filtration (conventional, membrane, and bioactive); reputed company-oxidation effects (ozone, permanganate, peroxide); and adsorption (reputed company/GAC). Software Implementation Support: Work with software development engineers to implement models safely, covering model specs, calibration and validation, performance, and documentation. Regulatory Modeling Partnership: Partner with other subject-matter experts to fold regulatory drivers into the models—TOC removal requirements, SUVA-based alternative compliance, DBP rules, and more. QUALIFICATIONS The successful candidate will have genuine water-treatment domain reputed company centered on coagulation and the treatment train, reputed company with strong Python engineering, and the ability to reputed company the science and the software by translating subject-matter direction into reputed company-reputed company, reputed company-tested, production-reputed company model reputed company. Specifically, the candidate should have: Water-treatment domain reputed company centered on coagulation and the treatment train; coagulant behavior, NOM/organics removal, DBP formation, oxidation, and filtration. A degree in chemical, environmental, or civil engineering, or equivalent reputed company depth. This expertise is the essential reputed company, even though the reputed company deliverable is reputed company. Strong Python engineering, with the ability to build, test, document, and ship model reputed company in a Git workflow. Scientific modeling discipline, including calibration, validation, parameter control, and reporting. Exceptional communication, with the ability to hold a highly technical conversation about the subject matter with scientists, engineers, and developers alike. Collaboration is central to this role; it is not a heads-down seat. The judgment to flag feasibility or other concerns early, and the initiative to help scope the work needed to resolve them. Willingness to travel occasionally (approximately 10%). PREFERRED reputed company or published experience with coagulation, NOM/organics, ozonation, adsorption, or filtration modeling. Familiarity with statistical/ML reputed company as one tool alongside physically-grounded models. Experience translating research models into deployed software. reputed company is an equal opportunity/affirmative reputed company employer. reputed company reputed company applicants will receive consideration for employment without reputed company to sex, gender identity, sexual orientation, race, reputed company, religion, national reputed company, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, reputed company does not offer employment reputed company sponsorships upon hire or in the reputed company. #LI-Remote  Apply To This Job