CorGTA Inc.

Role: Sr. Data Scientist

Location: North York, ON

Structure: Contract to Hire

Pay: Up to $125,000 base salary plus bonus and benefits

We have a client growing their Data Science group due to advancements in their technology environment and the IT group taking the next journey of their modernizations and innovations of technologies.

From this they have a Data Scientist role open on a permanent basis where you will get to work under the leadership of a very progressive Director of Data Science and help to create leading edge solutions that will push industry standards for Data Science solutions.

What You’ll Be Doing

  • Collaborate with stakeholders and identify opportunities to drive business value by leveraging Artificial Intelligence and Machine Learning
  • Ingest massive volumes of structured and unstructured format data, model, transform and store it in variety of data stores
  • Leverage distributed computing, machine learning and AI techniques for analysis, data mining and modelling
  • Build scalable, RESTful microservices to surface analytics results for stakeholders
  • Create and deploy model and algorithm testing strategies to ensure model predictability holds
  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
  • Present results to business line stakeholders and help drive real data-driven culture

Ideal Candidate will have:

  • 5-7 years of working experience with a primary focus in a Data Engineering/Analyst role on either Big Data or Machine Learning associated projects
  • Strong programming fundamentals and knowledge of at least one of Python/Scala/Java
  • Hands-on experience with at least SQL language and datastores, preferably also with NoSQL datastores (e.g. HBase)
  • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • Knowledge of Data tools and ecosystem (e.g., Hive, Sqoop, Spark, Kafka, Tensorflow)
  • Experience with common machine Learning libraries in R, Python, Spark and Deep Learning/AI frameworks
  • Familiarity or experience with deployment mechanisms for machine learning algorithms
  • Experience in one or more of following considered an asset: DevOps, SaaS
  • Ability to build scalable systems that analyze huge data sets and make actionable recommendations
  • Strong communication and data presentation skills
  • Ability to quickly adapt to new technologies, tools and techniques

Please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

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