Data Scientist

Contamos con un equipo sólido y robusto de consultores especializados en búsqueda y selección de personal, así como en consultoría en diversos temas asociado al Talento Humano en múltiples sectores y países, garantizando de esta manera la prestación de un servicio oportuno y resolutivo a cada una de las empresas que nos confían la selección y / o el entrenamiento de sus profesionales.

Actualmente sumamos más de 10 años de experiencia en el manejo de procesos, tanto individuales como masivos, a nivel local y regional.

Overview

Major Oil and Gas company is seeking a Data Scientist to join the Global Optimizer Department.

The Global Optimizer Development Department (GOD) charter is to optimize crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities.

Your primary role is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company. Your role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center.

Duties and Responsibilities

• Formulate and lead multi-faceted analytic studies against large volumes of data.
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Lead all data experiments tasked by the Data Science Team.
• Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develop methodology and processes for prioritization and scheduling of projects.
• Analyze problems and determines root causes.
• Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Minimum Requirements