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  • Emplois similaires à : Waste Treatment Engineering Designer
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Remote Water & Wastewater treatment Analytics DeveloperGrabJobs • United States
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Remote Water & Wastewater treatment Analytics Developer

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  • US
    United States
  • US
    United States
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À propos

About Pani Pani Energy is made up of a worldclass team of highly motivated individuals who share a mutual passion for the environment. We have created a web-based platform which enables the operators of water treatment facilities to operate their plants more efficiently saving energy, consumables, and the environment. We are excited to tackle challenging problems for the betterment of society. Our workplace environment fosters and encourages both ingenuity and collaboration. Pani is part of the 2024 Global Cleantech 100 list of companies committed to taking action on the climate crisis for our contribution to accelerating the water sector's transition to net zero, and we are looking for driven, enthusiastic people who share this vision. Position Description As a Analytics Developer you are a core member of a Advanced Analytics Team reporting to the CEO. You will operate in a cross-functional team at the cutting edge of data science in the water industry. You will be involved in innovation through developing models and frameworks for a product that provides tangible value to the industry by changing the way water treatment plants are operated. About You You have a passion for analytics and enjoy working on tough problems with an equally talented group of co-workers who will both challenge and support you. You believe in lifelong learning and welcome the opportunity to constantly iterate and improve upon your skills. Fundamentally you want to use your talents and energy to better the world for others and contribute to global greenhouse gas reduction through the responsible management of global water and energy. What you bring to the team The following background may qualify candidates for the listed competencies, but we are open to individuals who can demonstrate these skills through alternative experiences: •
Educational Background : A degree in Chemical Engineering, Environmental Engineering, Data Science, or a related technical field with a strong focus on process systems and industrial analytics. PhDs are preferred, but very open to only undergrad degrees for candidates who have demonstrable competencies to do the role well. •
Professional Experience : 3+ years of hands-on experience in industrial process modeling, optimization, and data analytics, particularly in water and wastewater treatment or similar industries. •
Technical Expertise : Proven experience working with Python for data analysis, machine learning, and deterministic modeling, along with familiarity with streaming data analytics and visualization tools. •
Domain Knowledge : Practical understanding of water and wastewater treatment processes, associated equipment, and experience working with engineering documentation such as PFDs and P&IDs. Role Competencies Process Modeling and Optimization: Expertise in modeling, optimization, forecasting, and fault diagnosis for chemical and biological treatment processes. Deterministic and Data-Driven Modeling: Strong understanding of both deterministic models and data-driven statistical and machine learning models for analytics, including applications with streaming data. Industrial Data Analysis: Proficiency in data cleaning, analysis, and modeling using physicochemical principles and data science techniques. Water and Wastewater Treatment Expertise: Deep knowledge of treatment processes (e.g., activated sludge, MBR, RO, UF, NF) and related equipment (e.g., pumps, ERDs, heat exchangers). Engineering Document Analysis: Skilled in creating and interpreting Process Flow Diagrams (PFDs), Piping and Instrumentation Diagrams (P&IDs), control philosophies, and technical specifications. Python Development: Demonstrated ability in Python for scripting, modeling, and running advanced analytics. Value-Driven Analytics Delivery: Ability to understand the value analytics add to industrial facilities and balance accuracy and complexity to deliver models with optimum scope in record time frames. Responsibilities Build statistical models and machine learning inference systems using multiple data sources Communicate findings derived from data clearly and concisely throughout the organization Create visualizations, documentation, and requirements specifications to collaborate with product, software, and business stakeholders Provide expertise on data science modelling techniques to other teams within the company Contribute to maintaining a production-level codebase of models and modelling tools using tools such as Git, Docker, Jenkins, or similar. Test and validate models, algorithms, and tooling against real-time client data to ship code at the global scale with confidence Nice to Have Experience in the water industry, ideally in water/wastewater treatment Experience working for a SaaS startup Working knowledge of thermodynamics, chemistry, or chemical engineering, especially as it pertains to water treatment Does this role sound like the next step in your career? Then we want to hear from you! If you don’t meet all of our requirements exactly, then we invite you to use your cover letter to tell us about your unique experience - we understand that talent comes from many places and that skills are transferable. Compensation Pani offers a competitive total rewards package which includes a comprehensive health & dental benefits and paid time off. The annualized base salary range for this Victoria-based role is CAD $65,000 to $85,000. The base salary offered to the successful candidate will consider a wide array of factors including but not limited to the individual’s skill set, level of experience applicable to the role they are being offered and consideration to internal equity. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to, location, experience and expertise. Our commitment to an extraordinary work environment At Pani, our values drive how we work with each other, and we believe that being yourself at your place of work is just as important as the work you do. We strive to foster an inclusive and diverse community for all employees from all walks of life. So, no matter your gender, sexual orientation, physical ability, religion, ethnicity, race, age or geographical location, we are a community that welcomes you. Our Pani Recruitment Team personally reviews each application.
  • United States

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  • English
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