Data Scientist Junior and Intern
Intelense INC
Toronto, ON

Intelense being IBM business partner is focused on building realtime video analytics for surveillance cameras to identify emergency conditions.


What you’ll do:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Select and use the right tools, frameworks, languages, and technologies for the job, with a preference for open-source solutions
  • Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialist.
  • Collect and preprocess data as per the requirement of AI team
  • Collect and find raw data sources from sources as per the requirement of the project

What we’re looking for:

  • In-depth knowledge of computer science, statistics, and/or mathematics
  • Experience using advanced statistical and data-mining techniques such as regression, properties of distributions, and statistical tests
  • Expertise in programming languages/frameworks such as Java/Scala, R, Python, and SQL
  • Experience with distributed data/computing tools such as Spark, Hadoop, and Hive
  • Experience using web services such as Redshift and S3
  • Expertise in machine learning and deep-learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, and Apache Spark MLlib
  • Experience using business intelligence tools such as Tableau, SAS, Microstrategy, and Looker
  • Experience working with notebooks such as Jupyter, Zeppelin, and Databricks Notebook
  • Strong analytical and problem-solving skills
  • Strong business acumen and curiosity
  • A drive to learn and master new technologies and techniques
  • Ability to select and use the right tools for the job, particularly open-source solutions
  • Ability to communicate clearly to technical and non-technical audiences

Job Types: Full-time, Part-time, Internship, Volunteer, Permanent