Homeloop has created a new and unique service that leverages data and
technology to reinvent the home-selling process. With Homeloop,
homeowners can sell their house within a few days, through an easy and
transparent process. Backed by Le Studio - the start-up studio launched
by the founders of PriceMatch - and leading international investors, we
want to challenge the status quo in the real estate market at a global
scale.
Your mission at Homeloop will be to:
- Explore various statistical models to (i) improve Homeloop’s
pricing algorithm based on our proprietary datasets containing more than
3 million residential real estate transactions and (ii) forecast
expected “Time on Market”
- Identify, research, and analyze new data sources to improve model accuracy
- Coordinate with product, engineering, and operations to understand impact and trade-offs of modeling improvements
- Rapidly prototype features and predictive models
Experience:
- Experience with Python and/or other programming language
- Familiarity with basic classes of Machine Learning algorithms, concepts in feature extraction and selection
- Ability to tackle complexity in real-world datasets such geo data and transaction data
- Previous experience working in a start-up environment is a big plus
- Ms in Statistics / Applied Mathematics or a related field with demonstrated academic excellence
Perks:
- Fast paced start-up experience at a well-funded start-up
- Nice offices located at the heart of “Le Sentier”, the most vibrant start-up area in Paris