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Style Discovery Platform

DATA SCIENTIST

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Our interactive ensemble solutions help the most innovative retailers create powerful, effective and
intuitive interactive experiences for their users. Using machine learning algorithms, we can
automatically tag, categorize and generate stylish ensembles from client data using our AI-powered
ensemble engine.
Responsibilities
● Selecting features, building and optimizing classifiers using machine learning
techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third-party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building
analytic systems
● Processing, cleansing, and verifying the integrity of data used for analysis
● Doing ad-hoc analysis and presenting results in a clear manner
● Creating external facing dashboards for clients and business partners to help convey
ROI

Our Tech Stack:
python, linux, gcp, react, machine-learning, tensor flow, sanic, gitlab, nginx, big query, sql, firestore,
docker, kubernetes