Data Scientist Jobs in Quebec
A Data Scientist in the technology industry plays a pivotal role in making sense of complex data sets and providing data-driven insights to help shape strategic decisions and solve business problems. They apply statistical analysis, predictive modeling, and machine learning algorithms to analyze and interpret big data, identify trends and patterns, and predict outcomes. They also work closely with business stakeholders to understand their problems and develop appropriate data models. Furthermore, they are responsible for data cleaning, preparation, and visualization to make it easier for non-technical stakeholders to understand.
Essential skills for a Data Scientist include a strong foundation in mathematics, statistics, and computer science. Proficiency in programming languages such as Python, R, or SQL, and tools like Hadoop, Spark, or Tableau is also necessary. Additionally, they should have good business acumen, problem-solving skills, and communication skills. Certifications like Certified Analytics Professional (CAP), Data Science for Business (DSB), and AWS Certified Big Data are beneficial. Prior to becoming a Data Scientist, one might have worked as a Data Analyst, Business Intelligence Analyst, or a Statistician.
- Montreal, QC
- 15 days ago
- Montreal, QC
- 15 days ago
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more...
Specialiste Senior en apprentissage automatique/ Senior machine learning specialist
- Montreal, QC
- 30+ days ago
- Montreal, QC
- 30+ days ago
Model Development Support: Work closely with data scientists to understand model requirements and assist in developing machine learning models, ensuring they are production ready....
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position...
Senior ML Data Scientist _ Content Creation Technology Group
- Montreal, QC
- 60+ days ago
- Montreal, QC
- 60+ days ago
The Senior ML Data scientist will create highly efficient self-learning systems that can adapt and evolve over time, pushing the boundaries of AI technology....
- Montreal, QC
- 90+ days ago
- Montreal, QC
- 90+ days ago
Learning, Natural Language Processing (NLP), or a related quantitative field - 5+ years of experience with neural deep learning methods and machine learning - 5+ years of experience programming in C+...
Scientifique en apprentissage automatique / Machine Learning Scientist, Amazon Games AI Research
- Montreal, QC
- 90+ days ago
- Montreal, QC
- 90+ days ago
Computer Science, Mathematics, Statistics, Economics, or related quantitative field - 3+ years of experience with neural deep learning methods and machine learning - 3+ years of experience programming in C+...
Data Scientist Online Courses and Training Opportunities
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Salary for Data Scientist Jobs in Quebec
Highest Education Level
Data Scientists in Quebec offer the following education backgroundQualifications / Skill Sets
The following top skills are often required or desired to land a Data Scientist position
- Natural Language Processing
- Neural Networks
- Scala (programming language)
- Computer Science
- Data Quality
- Apache Hive
- Amazon Redshift
- Computer Vision
- Algorithm Design
- Keras
- Apache Kafka
- Scikit-Learn
- Data Governance
- Apache HTTP Server
- NoSQL Databases
- Data Integration
- Apache Hadoop
- TensorFlow
- Deep Learning
- Regression Testing
- Data Warehousing
- Master of Laws
- ETL Development
- Data Mining
- Data Processing
- Amazon Web Services
- Data Modeling
- Architectural Design
- Microsoft Azure
- Big Data
- Data Science
- Agile
- Designing
- Optimization
- Modeling
- Data Visualization
- Business Intelligence
- Machine Learning
- SQL
- Data Analytics
- Artificial Intelligence
- Engineering
- Computer Programming
- Statistics
- Masters In Education
- Python
- Strategy Development
- Math
- Military Background
- Implementation
- Decision Making
- Driving
- Mentoring
- Data Analysis
- Collaboration
- Documentation
- Problem Solving
- Research Skills
- Organization
- Leadership
- Communication Skills
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