Empleo de Operations Research Engineer en Remoto - Vacante 102828

Publicado hace 27 días.

Operations Research Engineer en Aptude México

Sueldo oculto

Remoto: LATAM

Empleado de tiempo completo

Inglés: Nivel Avanzado

OPERATIONS RESEARCH ENGINEER SR:  


Operations Research Engineer to join their award-winning TECH team. In this role, you'll be responsible for creating statement of work documents, data identification, data preparation (merging data from different sources , cleansing, manipulation, etc.), model selection and creation (descriptive as well as prescriptive models) model training, testing, improving and documenting. You will prepare reports of findings and present to executives, as well as develop key performance indicators to enable tracking of the project benefits.


his is a groundbreaking opportunity to continue to grow and seek more automation and intelligences in the business. This role allows for huge growth potential!  

About the Role:  

  • You will develop a sufficient understanding of client’s business operations and practices to apply the appropriate methods , models, and analysis.  

  • You will present advanced level engineering analysis and other advanced analytical research to technical and non-technical business audiences; interpret results, understand business implications, and influence decision makers.  

  • You will efficiently communicate technical engineering solutions and results into appropriate business language for clear client understanding.  

  • In this role you will prepare proposals, statements-of-work , project logs and updates, and presentations in a clear and concise manner. Document project assumptions, approach and results including net savings or profit.  

As a Senior Operations Research Engineer, you will need:  

  • PhD degree in Operations Research, Industrial Engineering, Mathematics, or a related field, plus two years of significant work experience; or Master's degree plus four years of significant work experience required .  

  • To validate skill with mathematical optimization modeling, linear programming solution techniques and Linear Programming/Integer Programming modeling tools.  

  • Strong PC/Windows background with working knowledge of databases and spreadsheets and an understanding of the capabilities and uses of database applications.  

  • Strength with Java and/or Python; proficiency with modeling interfaces such as ILOG Concert, DoCPLEX or Gurobipy .  

  • Proficiency with one or more high level modeling languages such as AMPL, GAMS, MOSEL.