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RESPONSIBILITIES
Work as part of a product team to derive data science products that help improve the experience on the platform
Develop full data science pipelines from early proof-of concept models through full-scale training and working with engineers to deploy models to production
Engineer features, build and optimize recommenders, classification models, and semantic graph, and evaluate the feasibility and performance of these models
Assist with text/data classification and categorization
Communicate about data science with a diverse set of stakeholders and development partners
REQUIREMENTS
Hands on (not just academic) experience in applying advanced analytics to solve complex business problems
Proficiency in Python and SQL
Experience with unsupervised and supervised machine learning techniques and methods
Comfortable blending together diverse data sources to create training data for specific problems
Experience processing large-scale data sets
A strong passion for empirical research and for answering hard questions with data.
Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level
Experience working remotely - It takes a self-motivated individual to thrive on a distributed team
You are a lifelong learner and passionate about learning new things and taking on new challenges
PREFERRED SKILLS
Professional experience using unsupervised learning techniques - clustering, word embeddings, dimensionality reduction, etc