Overview

The main responsibilities will include:

Develop Advanced Analytics models to optimize underlying business problems using Data Science technologies
Test and “tinker” with Data Science technology to perform Proof of Concepts (PoC) and Pilots in the field of Data Science in business use cases
As a Data Scientist, and in collaboration with intelligence analysts and other social sciences profiles, you will create valuable insights, transformative business strategies through the measurement, manipulation, reporting and dissemination of the result of the analysis of a broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and leverage data driven decisions.
Train, share and share knowledge in Data Science within Prosegur and in public assessments.
Actively collaborate with universities, think tanks and other technological departments in Prosegur.
Qualifications:

Master’s degree in Maths, Statistics, Physics, Computer Science, Engineering or others (PhD. preferred).
Demonstrated ability to work with minimal supervision and work effectively with people at all levels in an organization.
Demonstrated ability to communicate complex results to technical and non-technical audiences.
Willingness and ability to learn new technologies on the job.
+3 years of professional experience in data science projects.
Knowledge of Python and R. Knowledge about Big Data solutions (like Hadoop).
Knowledge Data Scientist frameworks cloud based like Azure, Google Cloud, AWS, etc are valued.
Data treatment/Data mining SQL, Spark, Excel (valued)
Web Scraping and Natural Language Processing also valued.
Demonstrated aptitude for analytics. Statistical and operations research knowledge is a plus.
Knowledge of a visualization frameworks valued (Dashboarding, visual reporting)
Machine learning domain knowledge—bias-variance tradeoff, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
Determines requirements that will be used to train and evolve deep learning models and algorithms
Implements new tools to make data analysis more efficient, and experience in deploy analytics solutions in production.

Sector del empleo:
Telecomunicaciones y tecnología
Requisitos · Experiencia mínima:
De 1 a 3 años
Requisitos · Idiomas:
  • Inglés
  • Requisitos · Habilidades:
  • Autonomía
  • Creatividad
  • Emprendedurismo
  • Requisitos · Lenguajes de programación:
  • Python
  • R
  • Requisitos · Entornos:
  • Numpy
  • RStudio
  • About PROSEGUR

    Prosegur es un referente global del sector de la seguridad privada. A través de sus tres líneas de negocio —Prosegur Seguridad, Prosegur Cash y Prosegur Alarmas— proporciona a empresas, hogares y comercios, una seguridad de confianza basada en las soluciones más avanzadas del mercado. Con presencia en los cinco continentes, Prosegur cuenta en la actualidad con un equipo de más de 160.000 empleados. La compañía canaliza su acción social a través de la Fundación Prosegur que, con más de 31.100 beneficiarios en 2019, trabaja en cuatro ejes de actuación: educación, inclusión laboral de personas con discapacidad intelectual, voluntariado corporativo y fomento de la cultura.