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Data Scientist

S I Systems

Toronto

On-site

CAD 80,000 - 120,000

Full time

3 days ago
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Job summary

A leading tech company in Toronto is seeking a Data Scientist to provide technical expertise in data interpretation and develop innovative AI solutions. The ideal candidate should have experience with Python, machine learning tools, and excellent communication skills. You will collaborate with engineering teams and present findings to stakeholders. This is an exciting opportunity to leverage data science to impact business decisions.

Qualifications

  • Strong analytical skills with a passion for understanding data.
  • Proven experience in Data Science activities with relevant technologies.
  • Ability to communicate findings effectively to stakeholders.

Responsibilities

  • Provide technical expertise in data interpretation.
  • Develop AI solutions for product enhancement.
  • Collaborate with the product engineering team on projects.
  • Present findings to internal and external stakeholders.

Skills

Data search and interpretation
Data Science technologies (Jupyter Labs, SQL)
Machine Learning (Python, Sklearn, Tensorflow)
Effective communication

Tools

Jupyter Labs
SQL
Matplotlib
Spark
Numpy
AWS (S3, Glue, Sagemaker)
Snowflake
Java or JVM languages

Job description

●Provide technical expertise in using data to understand and explain the phenomena around them, and help the company make better decisions

●Develop novel AI solutions that power our products

●Work with the product engineering team to transfer experimental Data Science and AI work into production

●Demo results and findings to various internal and external business stakeholders

WHAT DO YOU NEED TO SUCCEED?

Must have:

●Thrive on searching and understanding the meaning of Data

●Demonstrated success in performing Data Science activities, leveraging technologies such as Jupyter Labs, SQL, Matplotlib, Spark, or Numpy

●Experience with Python and Machine Learning packages such as Sklearn, Tensorflow or PyTorch

●Experience with leveraging LLMs in Data Science activities

●Excellent written and oral communication skill s

Nice-to-have:

●Familiarity with AWS cloud computing, including S3, Glue and Sagemaker

●Familiarity with Snowflake

●Experience with Java or JVM based programming languages

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