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 Modeler 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.

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

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.