Data Scientist - Madlan

Madlan is a real estate platform that is currently at the forefront of transforming the process of purchasing and renting homes in Israel. Serving as a preeminent marketplace and a crucial tool for both real estate agents and buyers alike, Madlan leverages advanced big data algorithms and artificial intelligence to provide valuable information. This, in turn, streamlines the real estate acquisition process, fostering greater transparency and trust.

Individuals engaged in the sale, purchase, or rental of properties in Israel routinely turn to Madlan, relying on its expansive marketplace and comprehensive data information to guide them through their real estate endeavors.

We are actively seeking a qualified and passionate data scientist who will harness the potential within our extensive data sets and employ machine learning techniques to propel Madlan to new heights, thereby delivering enhanced value to our customers and users.

In this pivotal role, you will be responsible for conceptualizing and developing recommendation systems and property predictions. Your collaboration with product managers, data engineers, and developers will be crucial in achieving these objectives. This position offers a unique opportunity for you to make a substantial impact on Madlan's business outcomes, leveraging the vast datasets at our disposal.

Requirements:

• Passion for data, coupled with an excellent understanding of machine learning algorithms
• Proven experience of 3+ years as a Data Scientist (predictions\ recommendation systems)
• a track record of applying Python and machine learning techniques in production
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a relevant field; a graduate degree in Data Science or a related quantitative field
• Prior working experience in a marketplace is a significant advantage
• Previous experience in constructing recommendation systems is a notable advantage
• Proficiency in SQL, with knowledge in both NoSQL and SQL databases
• Independent