Your tasks and responsibilities
The primary responsibilities of this role, Data Scientist, are to:
Independently perform statistical analysis using a variety of modeling techniques, develop prototype solutions using scientific programming languages, design experiments for validation and testing efficacy of models, and measure impact.
Understands business goals, data and methods and their limitations;
Works reproducibly by documenting, organizing, and curating data and code;
Contributes skill, coaches others, and teaches other members of data science community to increase data fluency;
Identifies opportunities for improvement in solving problems for models or project data;
Analyzes and presents complex data in a clear manner;
Continuously learns and challenges the results through new techniques and experimental approaches;
Builds cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community;
Readily collaborates with subject matter experts, business stakeholders, and other Data Scientists.
Required Qualifications:
M.S and/or Ph.D. in Operations Research, Engineering, Computer Science, Data Science, or other related quantitative discipline;
*2+ years relevant experience delivering front-end or full stack software development to support analytics solutions for complex business problems for MS applicants;
Fluency in JavaScript, HTML, and CSS.
Experience deploying and testing web services.
Expertise in programming, and database languages
(ex. R, Python, and SQL).
Familiarity with cloud computing ecosystems such as Google Cloud Platform, Amazon Web Service, or Microsoft Azure
