Data Science jobs in Mississauga, ON

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On Point Consulting Services Inc.
Toronto, ON
  • Experience with data science / machine learning libraries such as Pandas, NumPy, Jupyter Notebook, SciKit-learn, TensorFlow.
  • What's in it for you:
Toronto, ON
  • Good understanding of ingesting data from application in data centers;
  • Optimizing events and petabytes of data;
  • Structuring data sets to build AI products;
Caspian One
Toronto, ON
$100,000 - $130,000 a year
  • Identifying data needs and driving data quality improvement projects.
  • 4+ years of work experience in data engineering, software engineering and/or data analysis…
Toronto, ON
  • Assisting Data Analysts and Data Scientists with pipeline and model deployment.
  • Building data models to deliver insightful analytics while ensuring the highest…
energyX Solutions
Toronto, ON
  • The Data Engineer will support our data scientists, software developers, and data.
  • Evaluate external data sources to augment our data capabilities.
Glu Mobile
Toronto, ON
  • Assisting Data Analysts and Data Scientists with pipeline and model deployment.
  • The Data Engineering team at Glu builds core data infrastructure and…
  • Document & assist development teams with best practice, data delivery solutions using enterprise data ingestion, ETL and data management tools.
Toronto, ON
  • Perform Data wrangling to transform and map data from raw data forms into formats more appropriate and valuable for analytics.
  • A person who’s worked for an ISP.
Toronto, ON
  • Provide physical data models and direct support to application development teams during the transformation from logical data models to physical data models.
  • Experience analyzing data for data quality and supporting the use of data in an enterprise setting".
  • And loading data from various heterogeneous data sources.
Paytm Labs
Toronto, ON
  • Design, build, and test big data queries for data views and feeds.
  • The Data Engineer will work with large-scale data platform that powers critical use cases and…
  • Hands-on experience with the Azure Data Platform (Data Factory, Data Lake, Data Warehouse, Blob Storage, SQL DB, Analysis Services).
  • O Power BI including DAX.