Data Scientist 2
EmergiTel
Toronto
1d ago

You will work as part of a friendly, cross-disciplinary, and agile team who helps each other tackle problems across all functions.

As a custodian of customer trust, you will employ the best methodologies in development, security, accessibility and design to achieve the highest quality of service for our customers.

Here’s how :

  • Understand business needs and apply data science / machine learning techniques to address real-world problems
  • Analyze source data (including structured and unstructured data), cleanse data, and support the building of data pipelines
  • Build models and enable solutions using techniques such as regression, classification, clustering, natural language processing, deep learning, and / or statistical modeling
  • Help validate, maintain, optimize, and troubleshoot the performance of machine learning models being used in development and production applications
  • Ensure data privacy is respected
  • Use visualization techniques to communicate findings and explain models
  • You're the missing piece of the puzzle

  • Education in computer science, engineering, mathematics, or a related field
  • Expertise developing machine learning models in Python and using open source ML libraries such as Scikit-learn, PySpark, Tensorflow, SpaCy, and PyTorch
  • Ability to communicate technical and complex concepts in a way that is understood by non-technical audiences
  • Relevant work or research experience delivering substantial data science projects including publications, contributing to packages, deploying applications, building tools and frameworks
  • Interpersonal and communication skills to enable collaboration with a range of team members with diverse skill sets and backgrounds
  • The ability to quickly familiarize yourself with new languages, tools, frameworks, and to stay informed on developments in ML techniques and technologies
  • Dedication to ensuring your work is well documented and version controlled
  • Experience using Cloud infrastructure like Google Cloud Platform, Amazon Web Services or Microsoft Azure
  • Experience with agile methodology and team-based software development workflows
  • Must to have skills :

    1. Candidate needs one of the following :

  • 5 Years of industry experience as a Data Scientist or similar work
  • A Masters Degree in Computer Science, Engineering, or Mathematics or a related field with 1-2 years experience as a Data Scientist or similar work
  • A PHD in the above academics with course work in Machine Learning and applied knowledge during schooling
  • 2. Experience in Machine Learning libraries such as Python, Scikit-learn, PySpark, Tensorflow, and PyTorch

    3. Proven demonstrated experience applying Machine Learning practices to Real World scenarios (ie building applications)

    Nice to have skills :

    1. Great Communication Skills

    2. Boot camp experience (Machine Learning or Data Science)

    3.A development background that they’ve transitioned to a Data Scientist role (eg Python development)

    Project details : Working on the Data / Analytics team (Machine Learning)

    Additional comments : Looking for a candidate with either the industry experience or the educational experience listed above.

    Not looking for someone who has 10 years of legacy DBA experience who recently transitioned over to a Data Scientist role.

    Machine Learning and development / coding experience is very important for this role, will look at a former Python Developer who has bootcamp experience and transitioned over to a Data Scientist role

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