Skyline AI Published: January 21, 2020
Job Type
Level of education
Spoken Language needed
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years


We are looking for a Data Scientist to join our group of data scientists in pioneering this change. Skyline is first and foremost a data-driven company, and that means this group is very central and influential in the company.

About Skyline AI

Skyline AI is redefining the world’s approach to the $200 trillion commercial real estate industry by building data technology that will transform the market from the low-tech methods it’s been relying on for decades.

At our core, we are an asset management company for commercial real estate. That means we buy and sell large buildings and apartment complexes on behalf of our customers, which are institutes who want to invest in real estate.

Skyline AI is well funded (Sequoia Capital, TLV partners, JLL, and more) and founded by a team of serial entrepreneurs.

- Supporting all aspects of the real estate investment process - finding the best deals, analyzing them, calculating business plans and identifying the up-and-coming markets of the future.
- Developing a deep, data-driven understanding of the dynamics of commercial real estate and translating it to effective data science products.
- Analyzing and drawing conclusions from data sets of all kinds (ranging from asset operating data to satellite images and mobile phone GPS locations).
- Measuring the business impact of our analyses and predictions in a shifting, long-term environment.
- Ingesting new datasets into our organization - research sample data and recommend whether we should acquire the data, process and organize the data and incorporate in our predictive models.
- Working cross-functionally with many people and departments in the company - engineering, in-house real estate analysts, and business partners to name a few.


- M.Sc. degree in a quantitative discipline.
- 3 years of relevant work experience as a data scientist, including experience with data processing and preparation, statistical data analysis and machine learning models.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
- Curious about finance and real estate.
- A hard-working team player who is fun to work with.
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