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Data Scientist – Python, ML & Predictive Modeling
Canada
· Full-time
·
Mid-Senior
Data Scientist – Python, ML & Predictive Modeling
Duration: 12 months
Work Model: 100% Remote
Programming & Tools
Duration: 12 months
Work Model: 100% Remote
Programming & Tools
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).
- Working knowledge of statistical analysis and modeling.
- Experience with Jupyter Notebooks, RStudio, and data visualization tools.
- Familiarity with SQL and data querying.
- Solid understanding of supervised and unsupervised machine learning algorithms.
- Hands-on experience with:
- Regression (Linear, Logistic)
- Classification (Decision Trees, Random Forests, SVM)
- Clustering (K-Means, Hierarchical)
- Regression (Linear, Logistic)
- Experience with deep learning frameworks such as TensorFlow and PyTorch is a plus.
- Proven experience in predictive modeling and forecasting.
- Ability to build, validate, and deploy predictive models.
- Strong understanding of:
- Feature engineering
- Model evaluation techniques (ROC, Precision/Recall, Cross-Validation)
- Feature engineering
- Experience working with real-world datasets to derive actionable insights.
- Strong foundation in statistics and probability.
- Experience with hypothesis testing, regression analysis, and statistical modeling.
- Proficiency in data cleaning, transformation, and exploratory data analysis (EDA).
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with Docker and containerization is a plus.
- Exposure to MLOps practices and CI/CD for machine learning models.
- Strong analytical and problem-solving skills.
- Ability to translate business problems into data-driven solutions.
- Effective communication and storytelling with data.
- Collaborative mindset with cross-functional teams.
- Experience with big data technologies such as Spark and Hadoop.
- Exposure to NLP, computer vision, or time-series forecasting.
- Knowledge of model deployment APIs such as Flask and FastAPI.
Key Skills
Ranked by relevance
machine learning
python
data visualization
containerization
computer vision
deep learning
data analysis
storytelling
tensorflow
big data
pytorch
docker
pandas
flask
cloud
numpy
spark
mlops
cicd
sql
aws
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- Posted
- Jul 02, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Mississauga
Industries
IT Services
IT Consulting
Categories
Information Technology
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