Who we are looking for; track record must haves
Experience working in a Data Scientist position, within a production Data Science team interacting with different business units
A strong background in software development with Python and relevant Python libraries (e.g. Numpy, SciPy, scikit-learn, Pandas, TensorFlow)
A tertiary education that includes statistical methods and machine learning
Experience with one or more classic data science and machine learning algorithms and techniques (e.g. natural language processing, text mining, linear regression, classification, clustering, topic modeling, support vector machines)
Experience with relational databases or other tools for managing data (e.g. BigQuery)
Experience that would be nice to have (but we’ll trade off if everything else fits)
An MSc or PhD that incorporated statistical methods or machine learning
A publication or publications on a machine learning topic in a reputable journal
Experience with using and deploying "big data" processing tools (e.g. Storm, Spark, Hadoop, MapReduce, Riak)
Experience with recurrent neural networks or deep learning
Experience with d3 or other visualization tools
Experience with Bayesian statistics
Start-up experience. Sometimes the earth moves beneath your feet at Prodigy Finance so you've got to be comfortable with ambiguity, able to wear lots of hats, and adapt easily as we continue to grow
The Prodigy Finance fit; attributes which run true in everyone at Team Prodigy
To be an A player at Prodigy Finance, you need to possess in spades - the following attributes :
Innovative + Smart
Be curious enough to want to know more, think out the box, maybe even break the box, show initiative and be smart about it to find implementable, impactful solutions.
International + Accountable
Push yourself to be better every day. Work with others across the world, be resilient, add value and then hold yourself accountable.
Encourage and celebrate each other.
Energetic + Fun
Sense of humour survival. Bring energy and fun. Wear your heart on your sleeve. Work hard and find the time to play. We’re in this together.
Do you want to be our next Data Scientist? Here’s what to do now :
If this sounds exciting and you'd like to have an informal chat, get in touch below and tell us why you want to work at Prodigy Finance.