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Assistant Engineer and Data Scientist - Intelligent Water System
Actively Hiring
Full-time Posted about 1 month ago
Responsibilities
- check_circle Develop innovative digital solutions for water systems focused on near-real-time sensor data curation, multimodal sensor fusion, digital twins, predictive control, and predictive maintenance of water related infrastructure
- check_circle Contribute to hydrologic, hydraulic, and hydrodynamic model development and calibration
- check_circle Develop automated quality assurance and control workflows for data ingestion, model validation, and calibration
- check_circle Assist in preparing engineering deliverables, presentations, and modeling and design reports · Design and implement closed-loop feedback and control logic bridging field instrumentation, edge computing devices, and SCADA/PLC systems
- check_circle Communicate complex AI/ML and control system approaches clearly to internal staff and external clients with varied technical backgrounds
- check_circle Keep up with the latest developments in artificial intelligence and machine learning models
Basic qualifications
- Bachelor’s degree in environmental, civil, chemical, or mechanical engineering
- Strong grounding in fluid mechanics; exposure to computational fluid dynamics (CFD) — through coursework, research, or personal projects — is highly valued
- Proficiency in Python, including data processing and machine learning libraries (Pandas, NumPy, SciPy, scikit-learn); experience with C or C++ is a plus
- Strong communication skills, self-motivation, organization, and attention to detail
- Familiarity with programmable logic controllers (PLCs) and SCADA systems — from coursework, internship, or professional experience — including an understanding of how field devices communicate with control systems
- Hands-on experience with embedded systems or microcontrollers (Arduino, Raspberry Pi, or similar), including sensor interfacing, signal acquisition, and real-time processing
- Must be proficient in Microsoft Office Suite
- 0-2 years of relevant experience
Preferred qualifications
- Experience with SCADA systems and PLC logic and automation development
- Familiarity with industrial communication protocols (Modbus, DNP3, OPC-UA)
- Conducts self-quality reviews before submitting work for additional QA/QC
- Experience deploying code or models to cloud platforms (Azure, AWS, GCP) or containerized environments
Benefits
- check_circle Comprehensive health benefits (medical, dental, vision, and prescription plans)
- check_circle Pre-tax flexible spending plans for medical, dependent care, and transportation
- check_circle Short and long-term disability, and employer paid life insurance
- check_circle Paid holidays, floating holidays, and paid time off (PTO)
- check_circle Employer-contributed 401(k) plan and additional financial planning support
- check_circle Professional growth opportunities, including tuition reimbursement, in-house training, and incentives for professional registration and professional organization memberships
- check_circle Starting pay range for this position depends on skills, experience, education and geographical location
Tags & Focus Areas
Data Science Ai