· Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
· Analyze machine learning algorithms that could be used to solve a given problem and rank them based on their cost & benefit.
· Manage individual project priorities, deadlines, and deliverables
· Build libraries and frameworks that support large, complex web applications
· Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real-world engineering problems
· 3-5 years of proven relevant work experience in Data Science
· Have industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning
· Able to solve complex business problem and apply machine learning to optimize critical business metrics.
· Have solid knowledge in root-cause analysis, statistical, time-series, or predictive modelling skills
· Able to manage multiple projects with competing priorities
· Proficiency in using various database platform such as MySQL, PostgreSQL, Hive, Bigquery, etc
· Proficiency in Python, R, Spark, Big Data Platforms, etc
· Proficiency in using data visualization tools such as Tableau, Power BI, etc
· Proficiency in cloud using Microsoft Azure Machine Learning