Data Scientist

Posted 3 Days Ago
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Rosh Ha'Ayin
Senior level
Artificial Intelligence • Software
The Role
The Data Scientist at WINT focuses on developing and optimizing machine learning algorithms to prevent water leaks and reduce environmental impact. Responsibilities include implementing predictive modeling, developing real-time data pipelines, and collaborating with cross-functional teams to ensure data-driven initiatives succeed.
Summary Generated by Built In

WINT Water Intelligence is dedicated to helping businesses reduce their environmental footprint by preventing the hazards, costs, waste, and environmental impact associated with water leaks and waste. Utilizing the power of artificial intelligence and IoT technology, WINT provides a solution for commercial facilities, construction sites and industrial manufacturers looking to cut water waste, reduce carbon emissions and eliminate the impact of water-leak disasters. WINT has been recognized by Fast Company and CB Insights as one of the world’s most innovative AI companies and has won multiple awards including “Next Big things in Tech” and Insurance Times’ claims prevention technology award. 

Role Overview

This role is primarily focused on data science and machine learning, with a strong emphasis on developing and optimizing algorithms, predictive modeling, and anomaly detection. At the same time, data engineering plays a crucial role in ensuring our models are built on a strong and scalable infrastructure.

Your first task? Taking the lead in developing and enhancing Wint's machine learning algorithm, ensuring its accuracy, efficiency, and scalability. Following that, you will take ownership of structuring the data—cleaning, organizing, and building DAGs and data pipelines to establish a robust foundation for our AI systems.

Key Responsibilities

  • Algorithm Development & ML: Implement, optimize, and support a new machine learning algorithm in production.
  • Automation & Anomaly Detection: Develop real-time data pipelines, anomaly detection, and predictive modeling solutions.
  • Data Structuring & Cleansing: Work with raw data, clean and transform it into a usable format for models and business insights.
  • Data Engineering & Pipelines: Own and improve data pipelines, ensuring efficient and scalable data flows (Airflow, ETL).
  • Cross-Team Collaboration: Work closely with engineering, product, and business teams to ensure alignment on data-driven initiatives.
  • End-to-End Ownership: Drive projects independently, ensuring accountability from data processing to model deployment.

Required Skills & Qualifications

5+ years of experience in data science, ML, or data engineering.
✅ Strong proficiency in Python & SQL (Must-Have).
✅ Experience with ML frameworks & signal processing.
✅ Hands-on experience with cloud platforms (AWS preferred).
✅ Knowledge of Airflow (or similar workflow orchestration tools).
✅ Strong problem-solving skills, ability to work independently, and take full responsibility for tasks.

Data Engineering & ETL experience (building scalable data workflows).
✅Experience with predictive modeling, anomaly detection, or productionizing ML models.

Work Environment & Culture

🏡 Hybrid work model – flexibility to work remotely while engaging with the team on-site when needed.
🤝 Highly collaborative and fast-paced environment.
🎯 Strong emphasis on ownership, autonomy, and impact-driven work.


Top Skills

Python
SQL
The Company
HQ: Austin, Texas
103 Employees
On-site Workplace
Year Founded: 2011

What We Do

WINT’s Water Intelligence solutions are trusted by organizations worldwide to save water, reduce consumption, prevent water leaks and make businesses more environmentally responsible. With WINT, commercial and industrial facilities, offices, homes and apartments, as well as construction sites are all protected against the destructive damage that water can cause, through leaks, broken pipes or malfunctioning water systems.

WINT customers gain deep insights into their water use to identify water waste and reduce consumption by 25%. With our commercial water leak detection system, our customers are developing more green buildings and retrofitting technology that saves them hundreds of thousands in utility bills and insurance deductibles.

Our water management system uses artificial intelligence and pattern-matching technologies that combine high-accuracy metering with advanced data analytics, saving tens of millions of gallons of water yearly, and preventing countless water damage incidents for organizations all over the world.

When your priorities are sustainable development of green buildings, cutting down on water waste, and saving on utility and insurance costs, there’s just one water management system out there to choose - WINT water intelligence

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