Cientifico de Datos, Experto en estadistica. Ingles avanzado

1 Vacantes
Publicado el 15 de mayo en

Ingeniería en General en Bogotá D.C., Bogotá D.C.

Descripción
  • Salario: $ 8.000.000,00 (Mensual)
  • Categoría: Arquitectura / Ingenierías
  • Subcategoría Ingeniería en General
  • Localidad: Bogotá D.C.
  • Activo desde: 15/05/2024
  • Jornada: Tiempo Completo
  • Tipo de Contrato: Contrato a término indefinido
  • Cantidad de Vacantes: 1
  • Educación Mínima: Universidad / Carrera Profesional
  • Años de Experiencia: 3

We are looking for someone expert in Data Engineer. Company offers great salary and steady job.

This position is WFH (Work from Home), you can apply from any city in Colombia.

Candidate must have experience in data engineer field

DUTIES:

Analyze and organize raw data, build data systems and pipelines. Build algorithms and prototypes; prepare data for prescriptive and predictive modeling. Conduct complex data analysis and report on results, Interpret trends and patterns. Identify ways to improve data reliability, efficiency and quality. Develop data set processes

QUALIFICATIONS

Bachelor in IT related field with Specific programing skills for Python and AWS management.

- Minimum experience required to perform this job
- 2+ years related experience in Data analysis product development
- Statistical knowledge and modeling expertise is an added bonus
- Data structures
- Algorithm design


Minimum job content knowledge required to perform this job.

- Linux (Ubuntu)
- Bash scripting
- Python - can code, unit-test (and ideally package and deploy python code on linux)
- SQL and Databases
- Git (command line)
- Linux command line
- Spark/PySpark
- AWS, EMR and EC2
- Building REST API applications ? server and clients in Python
- Machine Learning fundamentals:
- data preparation
- feature selection
- model training
- model evaluation
- hyper-parameter optimization
- data visualization

- Python tools

- common data science packages: pandas, sklearn, numpy, scipy, keras/tensor-flow and visualization/graphing libraries
- jupyter notebooks or PyCharm IDE
- pip, virtualenv or pipenv


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