Data Scientist
Guidance Software
Canada, QC, Montreal
6d ago

The Data Scientist is a core member of the OpenText Magellan team, working together to develop revenue opportunities within the OpenText customer and prospect base.

The position will involve analyzing complex customer requirements to provide a compelling, unique value proposition to the customer, which leverages one or more solutions from the OpenText EIM suite.

The Data Scientist will be mostly responsible for building machine-learning models using Jupyter Notebook programming in Python and R.

The Data Scientist will work with the Magellan team to help the customer visualize the value proposition by building out customized demonstrations of OpenText Magellan solutions and delivering technology and business level presentations to technical, business and management-level audiences.

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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