Join the Triangles data team to build, train and validate models to build understanding of all things paid digital. We are looking for a structured thinkers, resourceful coders with a strong stats background.
Work closely with our Strategy & Innovation team to craft cutting edge methods to tackle different problem sets.
Handle and solve complex issues in systematic and creative ways.
Develop frameworks and conduct robust analysis to deepen current sector specific models.
Writes high quality and well-documented code according to accepted standards based on user requirements.
Leverage and integrate disparate data sources and technologies to drive operational efficiencies and improve data quality and access.
Degree in Computer Science, Electrical Engineering, or related discipline required with a focus on Deep Learning, and Machine Learning.
Some experience with Hadoop and Open-Source technologies (MapReduce, Hive, HBase, Netezza, Flume, etc.)
Outstanding written and verbal communication skills in English are required.
Ability to work well in a fast-paced team environment and self-motivated.
Hands-on coding skills and ability to quickly prototype in Python is a must.
Expertise in deep learning (DNN, CNN, RNN, LSTM, etc).
Experience in tools and frameworks for deep learning (TensorFlow, PyTorch, Caffe, MXNet etc.) with strong hands on experience in at least one of them is required.
Proficient using data analytics and visualization tools (Tableau, PowerBI, Google Analytics, API’s)