About the Role
The Data Science team helps navigate Sucali through uncharted waters. We turn hard data (100 billion data points) into useful insights and compelling stories and products. From optimizing our investment finder system to guiding on-the-ground operations, we love to challenge conventional wisdom, use information to build awesome products, and develop effective solutions for our clients around the world.
If you love bringing creative flair to complex challenges, love working with big-data (and you’re pretty handy with cutting code), the Sucali team wants to talk with YOU.
As a data scientist / statistical engineer, you will have the opportunity to leverage Sucali’s rich dataset to develop data products that can be used by our clients to propel the growth of our business. You will collaborate with a strong team of engineers, product managers and fellow data scientists in defining the frontier of data products in matching marketplaces.
You will assist with designing and implementing a new state-of-the art machine-learning infrastructure for Sucali, while maintaining and improving our investment finder systems.
Data scientists will work on how to evaluate potential approaches, build features, algorithms, and determine metrics which are critical for our learning models.
Requirements
4+ years of industry experience developing machine learning models at scale from inception to business impact.
3+ years of industry experience building data pipelines and analyzing data at scale.
Advanced degrees in a quantitative field.
Deep understanding of modern machine learning techniques and their mathematical underpinning.
Proven ability to tailor machine learning solutions to business problems in a cross-functional team.
Experience with distributed machine learning and computing framework (Spark, Mahout or equivalent). Applied experience preferred.
Modeling: Python (NumPy, SciPy, pandas), R, Spark, Scala, Java, MLlib, H2O
About the Company
Sucali is a real-estate technology company and investment fund powering real-estate transactions though A.I driven date-intelligence.
We work with large institutional investors and private equity offices to locate distressed or recovering real-estate investments pragmatically utilizing our proprietary data and algorithms. Think of us as the next Bloomberg for real-estate
We're solving the hardest part of real-estate investing, finding the deal... and we analyze 10B data-points a day to do it!