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St-scientist, Data

3 months ago

Richmond Hill, Ontario, Canada Apotex Inc. Full time

About Apotex Inc.

Job Summary:

Responsibilities:

  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems
  • Extract, review and prepare data for analysis.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Propose enhancements to data collection procedures to include information that is relevant for building analytic systems.
  • Doing adhoc analysis and presenting results in a clear manner.
  • Research and develop statistical learning models for data analysis.
  • Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs, and development of recommendations.
  • Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling
  • Communicate results and ideas to key decision makers.
  • Demonstrate Behaviours that exhibit our organizational Values: Collaboration, Courage, Perseverance, and Passion.
  • Ensure personal adherence with all compliance programs including the Global Business Ethics and Compliance Program, Global Quality policies and procedures, Safety and Environment policies, and HR policies.
  • All other relevant duties as assigned.

Job Requirements:

  • Education
  • Minimum 2 years in a science, technology, engineering or math undergraduate program
  • Knowledge, Skills and Abilities
  • Experience with Python Libraries (numpy,pandas,tensorflow,keras,pytorch,opencv, scikitlearn,simpy,dash, matplotlib, seaborn, plotly)
  • Experience with data visualisation tools such as Power BI, QLik, Tableau, etc.
  • Experience with SQL and NoSQL Databases
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills.
  • Comfortable working in cloud and highperformance computing environments (e.g., Azure, Databricks, Apache Spark)
  • Excellent interpersonal skills
  • Good presentation skills in a variety of settings with business or technical users in small and large groups
  • High degree of commitment and demonstrated ability to continuous learning and improvement
  • Understanding of statistical and predictive modeling concepts, machinelearning approaches, clustering and classification techniques, supervised learning, recommendation and optimization algorithms.
  • Experience:
  • Minimum 2 years in a science, technology, engineering or math undergraduate program
  • Experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • Experience using machine learning libraries, such as scikitlearn, caret, mlr, mllib


At Apotex, we are committed to fostering an inclusive, accessible work environment, where all employees feel valued, respected and supported.

Apotex offers accommodation for applicants with disabilities as part of its recruitment process. If you are contacted to arrange for an interview or testing, please advise us if you require an accommodation.