Data Scientist

Description:

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, Management

Science, Mathematics, or other related quantitative discipline;

*2+ years relevant experience delivering analytics solutions to complex

business problems for MS applicants;

Theoretical and practical experience in deterministic optimization and

algorithm development related to operations management is a requirement,

including experience with commercial optimization software (ex. CPLEX or

Gurobi) and simulation software (ex. AnyLogic or Simio):

Expertise in programming, statistical packages, and database languages

(ex. Java, R, Python, Scala, SQL and OPL).