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Offer Description

Requirements:

Description tasks and responsibilities of the position: 

  • Responsible for obtaining knowledge and value from data, using Big Data analytical techniques and technologies.
  • Solid knowledge of computer science, statistics and mathematics.
  • Able to identify and analyze the business requirements of the project.
  • Performs Data Manipulation and Data Quality tasks.
  • Able to identify Datasets, and debugs the structure to facilitate analysis.
  • Design and build analytical models for pattern discovery, calculation of scorings, behavioral analysis, identification of relationships between entities, segmentations, etc.
  • Train, develops and refines the analytical model to obtain the most accurate model.
  • Analyzes and interprets results in key business.
  • Make reports and advanced visualizations of the main conclusions.


Essential technical requirements:

  • Experience analyzing data in Big Data Systems (at least 1): Hadoop, Spark.
  • Programming Languages ​​(at least 1): Python, R, Scala.
  • Data Manipulation (at least 2): SQL, Hive, Pig, Impala, SparkQL, Sqoop, Flume, Web Scraping.
  • Statistical Algorithms & Machine Learning: correlation, regression, forecasting, time-series, classifiers, clustering.

 

Assessable technical requirements:

  • Programming Languages: Any addition to the above, plus Julia and Java.
  • NoSQL systems: MongoDB, Cassandra, CouchDB, Redshift, etc.
  • Display: Gephi, Neo4j, graphics bookcases in R and Python, Kibana, Visual.ly, D3.js, QlikView, Tableau, CartoDB, etc.
  • Text Mining: Elasticsearch, Lucene, Solr, etc.
  • Analytical Tools and Data Mining: KNIME, RapidMiner, SPSS, SAS, Statistica, MATLAB.
  • Other Big Data technologies: Logstash, STORM, Kafka, etc.
  • Experience program against third-party APIs.
  • Front-end technologies: HTML5, CSS, Javascript, JSON.

 

Education

  • Degree in Mathematics, Computer Engineering, Higher Engineering or Physics.
  • Double degrees will be evaluated in any of the above degrees and doctorates or Masters in Artificial Intelligence, Mathematics, Computer Science or Statistics.
  • Publications and papers related to data analytics and Artificial Intelligence will be evaluated.
  • Courses and certifications in any of the Big Data ecosystem technologies and handling techniques and data analysis will be evaluated.

 

Years of experience in a similar position:

  • 2-3 years in data analytics projects that have used Big Data systems and technologies. Ideally in private enterprise.
  • Projects that have been analyzed large volumes of data from heterogeneous sources will be specially evaluated.
  • Academic research projects will be evaluated.

 

Soft skills

  • Results orientation
  • Teamwork
  • Analytical thinking.

 

Other

  • Fluent English
  • Knowledge of the financial sector will be appreciated and in general, any experience in analytical data and projects in Banks and Insurance.

 

Additional Information:

  • Permanent contract
  • Flexible working hours
  • Modern tech stack
  • Casual dress code
  • Friendly and international team
  • English classes
Interested?
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