Senior Data Scientist
17 hours ago
Work closely with technology partners to develop and maintain Machine Learning infrastructure that powers our ranking models, member apps, inventory classification, etc. Our preferred language is Python, and you'll regularly be working with real-time information from Kafka streaming systems.
Research, develop, and implement predictive algorithms using various supervised and unsupervised statistical concepts, such as time series, multivariate methods, GLM, and Bayesian inference. The solutions will be deployed as real-time APIs in our microservice infrastructure.
Provide subject matter expertise in the areas of big data machine learning techniques, such as gradient boosting, bagging, family of recommender methods, NLP, and image content analysis.
Collaborate with internal and external stakeholders to identify business opportunities, and how to translate the opportunities into actionable analytical solutions. Additional business areas may include operational efficiency and inventory optimization.
Independently lead algorithm initiatives from problem statement conception to solution development and implementation, providing ongoing and meaningful communications to stakeholders on progress and next steps.