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).