Data Scientist-Technical English

to manipulate data and draw insights from large data sets.

• Experience working with and creating data architectures.
• A drive to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience using web services : AWS Redshift, S3, Spark, DigitalOcean, etc.
• Experience analyzing data from 3rd party providers : Travel API providers such as

OTAs, AirBank, and other partners,

• Knowledge using Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive,

Spark, Gurobi, MySQL, etc.

• Experience visualizing / presenting data for stakeholders using : Periscope, Business Objects, D3, ggplot, etc.
• We're looking for someone with at least 4-5 years of experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software / tolos.
• Strong problem solving skills with an emphasis on product development.
• Excellent written and verbal communication skills for coordinating across teams.
• Responsibilities
• Work within the Tech team throughout the organization to identify for leveraging company data to drive better platform functionality solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development.
• We offer
• Salary : $60,000 FREE
• Life insurance
• Major medical Insurance
• Vacations and Aguinaldo in accordance with the law
• Hybrid Model 3 days in office (Miguel Hidalgo / Legaria)
• Monday-Friday 9 : 00 19 : 00

Tipo de puesto : Tiempo completo

Salario : $40,000.00 - $60,000.00 al mes

Horario :

• Turno de 10 horas

Prestaciones :

• Seguro de gastos médicos mayores
• Seguro de vida
• Trabajar desde casa

Experiência :

• computer languages (R, Python, SQL, etc.

5 años (Obligatorio)

• working with and creating data architectures : 5 años (Obligatorio)
• manipulating data sets and building statistical models : 5 años (Obligatorio)

Idioma :

• able to establish technical conversations (Obligatorio)