Senior Data Scientist

About PriceHubble

PriceHubble is a PropTech company, 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 stable and reliable valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Paris, Berlin, Hamburg, Vienna, Amsterdam and Tokyo. We work on international markets, are backed by world-class investors and treasure a startup environment with low bureaucracy, high autonomy and focus on getting things done.

Your role

As a Senior data scientist, your mission will be to develop cutting edge valuation and forecasting systems for the real estate market. You will manipulate a wide range and variety of data, build new datasets, and identify patterns that eventually impact prices in the real estate market. You will then use specific machine learning approaches to design the best valuation and forecasting solutions. As a significant part of your daily work, you will take part in the productionalization of the models developed by the team and contribute to our international expansion. You will work closely with the business team to integrate client feedback into our solutions.

Responsibilities

• 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 existing internal ML libraries and frameworks.
• Identify modeling issues, design new features, and continuously provide ideas to improve our models.

Requirements

• MSc with at least 3 years of experience in a similar position or PhD in Computer Science or Applied Mathematics.
• Strong experience in machine learning model development and productionalization.
• In-depth understanding of basic data structures and algorithms.
• Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data with attention to detail and accuracy.
• Strong programming experience with Python and ability to write high-quality production code.
• Knowledge of our tech stack (or similar technologies) is an advantage: pandas, airflow, PySpark, tensorflow, postgreSQL, kubernetes
• Comfortable working in English; you have a great read, good spoken command of it.

* We are interested in every qualified candidate who is eligible to work in the European Union but we are not able to sponsor visas.

Benefits

🕓 Flexible work hours

💰 Competitive salary

👖 Casual dress code

📘 L&D program

🏢 Well-located offices

🍏 Free snacks, fruits, coffee, beers, soda