Technology and Operations - Data Scientist I

” Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. “ Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. “ Generate and test hypotheses and analyze and interpret the results of product experiments. “ Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. “ Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

1) 0-3 years experience in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. 2) 0-3 years experience working with large datasets. 3) The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.

Education / Certifications 1) Bachelor’s degree in computer science or in a relevant field., Algorithms, Analysis Skills, Apache Hadoop, Big Data, Business Intelligence, Communication Skills, Computer Science, Data Analysis, Data Modeling, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Machine Learning, Mathematics, Online Customer Support, Predictive Modeling, Product Engineering, Programming Languages, Prototyping, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Statistics, Tableau, Technical Operations, Writing Skills