Breve descripción del cargo
In the role of Data Scientist, you will be working with data science, engineering and tech architecture teams across Bluekiri to build data products and Machine Learning models for our enterprise customers. Some examples of projects you might be working on: smart pricing, optimisation of flight routes, revenue management, etc.
Work in a diverse environment where you will take full responsibility of turning ideas and discoveries into machine learning engines.
Be able to think outside the box. Challenge ideas and methods.
Research & Development on how to turn complex data into meaningful business actions.
Ability to see beyond the numbers, be the voice of data when communicating to team members and stakeholders.
Actively contribute to take Data Science at Bluekiri to the next level.
Skills and experience required:
Experience with real dirty data and solving problems with statistical rigour.
Experience in a quantitative field: computer science, physics, math, bioinformatics, engineering, etc.
Strong technical skills regarding data analysis, statistics and programming. Strong working knowledge of Python.
Exposure or knowledgeable of SQL, noSQL and distributed databases.
Prior experience with a few of the following models: Logistic Regression, Random Forests, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, optimization models.
Understanding of core statistical concepts behind ML generalities. Preferably bayesians but frequentists are welcome too.
Nice to have:
Working experience in distributed version control.
Experience in Spark (pySpark or Core).
Knowledge of Hadoop ecosystem.
Experience on Visual Studio Team Services.
Working knowledge of scrum and agile principles.
You love solving problems, especially using data, lots of it. You see problems as opportunities to make things better, data as a mean to do it and the people around you as sources of knowledge and potential.
You like stories, especially those involving data and know how to present data insights to people at all levels of the organization.
You are intellectually curious, and combined with your intuition and skepticism. You are able to separate the wheat from the chaff.
You are self motivated with a growth mindset. You seek out learning opportunities for yourself and the team.
You love doing things efficiently and value pragmatism over perfection.
Rango de salario estimado (nominal mensual $)
Más de 50.000
Fecha de cierre de postulación
Matemáticas y estadística
Ingeniería y profesiones afines
Operador Office (Ej. word, excel, power point): Medio
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