Thermal Data Analyst

Ecozen is innovating at the intersection of clean-tech & the internet of things. We aspire to disrupt the way perishables are handled across the value chain and build an intelligent and completely automated after-sales service solution in the long run.

Currently, we have two products- Ecofrost & Ecotron. Ecofrost is a portable solar-powered cold room based on thermal energy storage, which can maintain low temperatures without any backup power. We also offer a smart controller “Ecotron” for irrigation pumps which complements our offerings in the solar/agri-solutions space and are a major market shareholder.

Both the products are strongly integrated with the internet and give us extensive data about their usage and performance. Using this data, we are building a perishables-friendly marketplace and powerful algorithms to improve product performance, serviceability, and reliability.

Our primary USP is our innovative and fresh approach to real-life problems and solving them with the philosophy of lean solutions. Our team consists of extremely motivated and energetic individuals who walk hand-in-hand with the company's principles and vision.

We are headquartered at Pune and also have major operations at Raipur. We are also spread across other locations such as Hyderabad, Chandigarh & Delhi.

Responsibilities:

• Analyze cold chain device data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience


• Write efficient MySQL/Python code and complex queries across extensive data sets


• Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and refrigeration diagnostics


• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering to data processing and modeling


• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports


• Automate analyses with interaction with MongoDB

Basic Qualifications:

• B.Tech. or M.Tech. in Mechanical Engineering (Preferred), Math, Physics, Statistics, or related field


• Prior internship/work experience in data analytics or related field


• Strong proficiency in MySQL, and Python for writing efficient queries, data manipulation, and analysis


• Strong knowledge of data visualization techniques and tools using Matplotlib, Plotly, etc.


• Strong problem-solving skills to help refine problem statements and solve them with the available data


• Exceptional organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadlines


• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

Preferred Qualifications

• First-principles understanding of heat transfer, fluid mechanics, and thermodynamics with relevant project/research experience


• Experience creating data products and dashboards in Tableau, R Shiny, or others.


• Exposure to building machine learning models with demonstrated impact


• Experience communicating the results of analyses with stakeholders/leadership teams, and working cross-functionally across different teams


• Experience in developing numerical models + experimental characterization of thermal/fluid/refrigerant systems and heat exchangers