BackPosted on 20/04/2016
Lead Data Scientist
Part time |
Salary type not mentioned
Salary not mentioned |
Lead Data Scientist
€50-80/hour (depending on experience)
A leading company in the world of visual digital entertainment
•Execute end-to-end Data Science Projects.
•Starting point will often be Data Exploration and Validation of new data sources.
•Investigate the data using optimal quantitative techniques, statistical analysis and/or machine learning techniques, taking into account the specificities of the business problem(s) at hand.
•Interpret and validate results, formulate conclusions and discuss with stakeholders.
•Setup and Maintain (Big-)Data Flows using Python, Spark (Scala/python) and/or Logstash.
•Build Reports and Visualizations to expose our findings to the rest of the organization.
•Work together with technical/business representatives to foster an objective mindset and promote data driven decision making.
•Follow advances and proliferate latest trends in related technologies.
•Ability and willingness to proactively identify key challenges in the organization for which data driven decision making makes sense and having direct interaction with stakeholders to validate/improve deliverables.
•You have a Master's degree in statistics, applied mathematics, or a related quantitative field.
•You have strong experience with high-level programming languages such as Python & R.
•You have solid quantitative skills with work experience using data-mining, applied machine learning and/or statistical modelling; knowledge of algorithms spanning clustering, regression, classification, mixture models, etc.
•You have knowledge of data extraction and ETL is a must.
•You have experience with command line tools, data visualization (D3, Shiny), and version control (ie git), Experience on Platfora is an asset.
•You have a broad based understanding of the Hadoop ecosystem.
•You have experience with Open Source big data technologies like Spark, Logstash, Hive, Kafka, Storm. Knowledge on Scala and AWS is an asset.
•You have the ability to understand business context and specificities.
•You have excellent communication, visualization, reporting and presentation skills.
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