Senior Data Scientist H/F

Contenu de l'offre Senior Data Scientist H/F chez PriceHubble

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Description
About PriceHubble

PriceHubble is a PropTech company with over 190 employees, set to radically improve the understanding and transparency of real estate markets based on data-driven insights. We aggregate and analyse a wide variety of data, run big data analytics and use state-of-the-art Machine Learning to generate high-quality valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Paris, Hamburg, Vienna, Amsterdam and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy, and an international team and business.

Your role

As a Senior Data Scientist, you will collaborate with other experienced scientists and engineers to develop cutting-edge valuation and forecasting systems for the real estate market.

You will manipulate a wide range and variety of data, identify patterns that impact prices in the real estate market, and use specific Machine Learning approaches to design innovative solutions. A significant part of your work will also BE dedicated to model productionalization and to our international expansion.

Overall, you will strive at Price Hubble and in the Data team if you value elegant and highly efficient engineering, and derive your satisfaction from delivering reliable products that delight customers.

Responsibilities

Through your contributions, you will help to :
- Identify, analyse, and interpret trends or patterns in a variety of internal and external sources. Handle potentially incomplete datasets.
- Create, implement, test and optimize scalable models and algorithms.
- Extend and improve existing internal ML libraries and frameworks by designing new features and providing innovative ideas.
- Define, measure and automate quality assurance for your models and datasets.

We will also expect you to stay at the forefront of ML engineering and data management best practices in the industry.