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Water optimization startup combining simulation and machine learning to better manage water resources.

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Chicago, IL, USA

Less than 10 Employees

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About Us

**Confluency** seeks a motivated, creative, driven leader to help deliver machine learning and data-driven solutions that solve critical customer challenges. The ideal candidate combines a deep understanding of statistical methods and machine learning algorithms, together with an understanding of modern computing infrastructure to efficiently experiment, deploy, and scale data-driven solutions. Your breadth of experiences enables you to move nimbly between data science, data engineering, and ML-Ops. You strive to balance the goals of simplicity, repeatability, and model accuracy – all framed by the customer’s needs. We are really interested in candidates with experience working with the physical world – either natural systems (e.g. hydrology, climatology, meteorology) or industrial systems (IIOT). Experience with simulation, optimization methods, and/or control systems is also a plus. # Required Qualifications - 5+ years of experience in machine learning / data science roles - Advanced knowledge of machine learning methods and statistical principles. Experience applying to anomaly detection, timeseries forecasting problems. - Expert data management and integration skills - Programming experience (python preferred) - Experience with MLOps principles - Masters degree in a quantitative discipline (e.g. computer science, mathematics, physics, engineering). - Strong data visualization skills - Thrive in a fast-paced environment and able to shift priorities seamlessly. - Team player mindset favoring outcomes over ego - Strong communication skills

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