Data Analytics Specialist with English Madrid (Madrid)

Descripción de la oferta

Duración de la oferta: hasta el 14/10/2018.

Funciones

Are you looking for a challenge in an International Company?

Selectiva is looking for someone to join the Data Science Team of an important technological multinational company at its headquarters in Madrid. This is a stable position in which you will grow up and develop your skills in an international enviroment.

The main responsabilities will be:
Working together with the team in data driven techniques and methodologies to support the business strategy decisions of the Company.

What we offer:
Permanent position
Salary: 22.000 euros
Possiblities of Home Office
Full-time job
International enviroment

Localization:
Madrid

Schedule:
Monday to Friday

Vacancy:
1

Requisitos

Who we are looking for:
The successful candidate must be a naturally inquisitive individual with experience in analyzing complex data sets and possess with a degree in a quantitative field like Mathematics, Statistics or Computer Science and be a proficient user of an SQL platform. Programming expertise in Python and the relevant data science packages (Numpy, SciPy, Pandas, sci-kit learn). Knowledgeable in Data wrangling: Cleaning, munging, merging and analyzing large quantities of structured and unstructured data. Experience in Exploratory Data Analysis and adept at Storytelling to be able to communicate business insights to executive management in concise, colorful and clear presentations
If you are an analytic and team oriented person considering your next step in your career this is the perfect opportunity for you. Join a challenging and engaging Project-oriented work environment with a diverse team of data science professionals while you continue developing your professional career.
Desirable:
· Usage of machine learning tools and statistical techniques to develop appropriate analytic solutions.
· SPSS modeler knowledge
· Other coding languages: Javascript, R
· Your personal Github or Kaggle account demonstrating proficiency in data analysis and machine learning
· Meaningful data science contributions at your previous employer or academic contributions (for example development of a production cloud-based application or machine learning algorithm or visual interactive dashboard)