Data Scientist
Guidance Software
Canada, QC, Montreal
3d ago

Le scientifique de données est un membre indispensable de l’équipe OpenText Magellan, dont tous les membres travaillent de concert à développer des possibilités de revenu au sein de la clientèle et des clients éventuels d’OpenText.

Le titulaire du poste devra analyser les exigences complexes des clients afin de leur présenter une proposition de valeur attirante et unique, qui tire profit d’une ou de plusieurs des solutions de la suite de gestion de l’information d’entreprise d’OpenText.

Le scientifique de données sera principalement responsable de bâtir des modèles d’apprentissage machine à l’aide de Jupyter Notebook, dans Python et R.

Le scientifique de données travaillera avec l’équipe Magellan pour aider le client à visualiser la proposition de valeur en créant des démonstrations personnalisées des solutions OpenText Magellan ainsi qu’en faisant des présentations portant sur la technologie et l’entreprise devant des auditoires techniques, d’affaires et de direction.

You are great at :

  • Understanding of statistical and predictive modeling concepts and recommendation and optimization algorithms.
  • Working on complex problems that may require research and deep knowledge of the solution and address broad design issues for future projects.
  • Providing technical leadership to deliver successful solutions to large corporations and government agencies.
  • Applying both technical and business skills to create and build solutions to meet the customer’s business requirements.
  • Developing best practices for implementation projects
  • BS degree in Computer Science, Information Science, Engineering, Statistics, Mathematics or related field degree.
  • At least 2 years of professional experience in Analytics / Data Science.
  • Programming skills and advanced knowledge of Python, Scala, R.
  • Experience with Jupyter Notebook
  • Expertise on Spark in general and MLlib specifically (PySpark, Scala, SparkR)
  • Experience working with analysis tools and packages such as Pandas, SciPy, Scikit-learn
  • Experience with large data sets and distributed computing (Hive / Hadoop)
  • Experience with SQL, ETLs and data structures.
  • Experience working with large, multi-dimensional real datasets and real business projects.
  • Able to work in a team environment.
  • Willing to travel. In some cases, travel could be international.
  • Experience with Java will be appreciated.
  • Deep learning / Neural Networks knowledge will be appreciated.
  • Experience creating rich, meaningful data visualizations will be appreciated.
  • Knowledge / Experience with big data technologies will be appreciated.
  • Experience with business intelligence tools will be appreciated.
  • Experience with text mining and analyzing unstructured content will be appreciated.
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