Data Scientist

Wint Water Intelligence is seeking a Data Scientist in Rosh Haayin, Israel, focused on developing machine learning algorithms and data engineering. Responsibilities include optimizing models, anomaly detection, and managing data pipelines. Candidates should have 5+ years of experience in data science, proficiency in Python and SQL, and familiarity with cloud platforms. The role offers a hybrid work model, allowing remote work with on-site engagement as needed.
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.

Job posting details for Data Scientist at Wint Water Intelligence in Israel, Rosh HaAyin. . ClimateTechList gathers 20,000+ job openings from over 772 climate tech companies and updates them daily.