Data Scientist
Data Scientist
Statistics, Algorithms and Machine Learning Project
Barcelona
Innovador proyecto en empresa consolidada líder en su sector
hace 10 meses
Referencia
JM_DS
Retribución
DoE
Descripción
Project:
Model developement for a revenue management solution specifically oriented to campings and vacation parks.
Passionate about working with large datasets and able to operate and excel in a fast-paced team.
Collaborative by nature and can work productively across functional groups to achieve a common goal.
You have a hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools.
Proven experience with data visualization and using data to tell a story.
Skills:
● 2+ years of experience developing models based on Machine Learning.
● 2+ years of proven experience working with Logistic regression models where variables
are time series
● Hands-on experience with on creating analytics pipelines to pre-process data with R or
Python programming language or other tools such as SPSS and SAS
● Proven experience with data visualization tools as D3.js, motpoltlib or tableau
● Experience in creating regression/classification models / predictive models
● Knowledge of applied mathematics, statistical methods, machine learning and algorithms.
Model developement for a revenue management solution specifically oriented to campings and vacation parks.
Passionate about working with large datasets and able to operate and excel in a fast-paced team.
Collaborative by nature and can work productively across functional groups to achieve a common goal.
You have a hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools.
Proven experience with data visualization and using data to tell a story.
Skills:
● 2+ years of experience developing models based on Machine Learning.
● 2+ years of proven experience working with Logistic regression models where variables
are time series
● Hands-on experience with on creating analytics pipelines to pre-process data with R or
Python programming language or other tools such as SPSS and SAS
● Proven experience with data visualization tools as D3.js, motpoltlib or tableau
● Experience in creating regression/classification models / predictive models
● Knowledge of applied mathematics, statistical methods, machine learning and algorithms.
