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Vous avez affiné par : Data Scientist (défaire)
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Page 1 de 55 emplois
Calgary, AB
  • Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Solid experience in implementing data transformations and text matching algorithms using Python.
  • Allstate Insurance Canada Group is looking for exceptional data…
  • Our client is looking for a Data Scientist.
  • The ideal candidate will have a passion for discovering patterns from data and working with internal stakeholders to…
StreetLight Data
Vancouver, BC
  • Research and implement suitable strategies (e.g. regression models, neural networks, etc.) for solving data science problems.
SomaDetect
Province de Québec +1 lieu
  • Your primary focus will be in applying data mining techniques, doing statistical analysis, time series, mathematical analysis and building high-quality…
MobSquad
Calgary, AB
  • Experience setting up and using large-scale distributed data-processing frameworks such as Apache Spark and Hadoop Map-Reduce.
80 000 $ - 120 000 $ par année
Employeur réactif
  • The ideal candidate will have a strong foundation in data science and will be willing to take initiative in pioneering new methods of modeling and analytics.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Our telecom client is looking for junior and intermediate level Data…
Awakedata
Canada
  • Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems.
KoBold Metals
Vancouver, BC
  • KoBold Metals is using machine learning, and other scientific computing techniques, to explore for the critical materials needed to build electric vehicles and…
Jungle Scout
Vancouver, BC
  • Work with stakeholders throughout the company to source opportunities for creating data-driven products.
  • Create scalable models that drive business decisions…
  • Display comprehensive understanding of, and skills using, statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text…
  • The ideal candidate will have a strong foundation in data science and will be willing to take initiative in pioneering new methods of modeling and analytics.