Scientific Software Engineer

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USALCO

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

🏭 Manufacturing

💰 Private Equity Round on 2020-06

Manufacturing • Chemicals • Water Treatment

USALCO is a leader in the field of water and wastewater treatment chemistry, specializing in innovative solutions designed to provide clean water for drinking and industrial purposes. With over 100 years of experience, USALCO offers a comprehensive line of alumina-based products tailored for various applications, including municipal water treatment, sewage treatment, and industrial processing. Their commitment to excellence and sustainability ensures they remain at the forefront of addressing the growing demand for safe and clean water across the United States.

📋 Description

• Build, extend, and polish the library of fundamental models behind Virtual Jar's coagulation train, including organics/UV254, turbidity, pH, coagulation chemistry, and related pre-oxidation, adsorption, and filtration effects • Deliver new model versions and model types into repositories in Python • Collaborate with the Digital Solutions team to refine and pressure-test scope and requirements • Apply literature-grounded functional forms, calibration, hold-out validation, parameter discipline, uncertainty reporting, and production-quality code within a Git workflow • Develop optimization models across coagulant and adjacent treatment processes, including organic-polymer coagulants, filtration, pre-oxidation, and adsorption • Work with software development engineers on model specifications, calibration, validation, performance, and documentation • Partner with subject-matter experts to incorporate regulatory drivers such as TOC removal requirements, SUVA-based alternative compliance, and DBP rules

🎯 Requirements

• Genuine water-treatment domain fluency centered on coagulation and the treatment train • Knowledge of coagulant behavior, NOM/organics removal, DBP formation, oxidation, and filtration • Degree in chemical, environmental, or civil engineering, or equivalent applied depth • Strong Python engineering skills, including building, testing, documenting, and shipping model code in a Git workflow • Scientific modeling discipline, including calibration, validation, parameter control, and reporting • Exceptional communication skills for highly technical discussions with scientists, engineers, and developers • Ability to collaborate across teams and help scope work • Judgment to flag feasibility or other concerns early • Initiative to help resolve feasibility and other concerns • Willingness to travel occasionally, approximately 10% • Applied or published experience with coagulation, NOM/organics, ozonation, adsorption, or filtration modeling is preferred • Familiarity with statistical/ML methods alongside physically grounded models is preferred • Experience translating research models into deployed software is preferred • Must be able to work without employment visa sponsorship; USALCO does not offer employment visa sponsorships upon hire or in the future