Data Scientist

Artech Information Systems View all jobs

  • Toronto, ON
  • Contract
  • Full-time
  • 2 days ago
Title: Data Scientist
Location: Toronto - Hybrid (4 Days WFO)
Duration: 6-12 monthsPay range: C$53 T4 or C$55 INCPrimary Skill /s - Machine Learning to Customer Marketing initiatives -Python and libraries like PySpark, TensorFlow, PyTorch, and Scikit-learn big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g., Azure, AWS, GCP)Required Skills & Qualifications
  • Strong programming skills in Python with proven experience building production-grade ML systems.
  • Hands-on expertise in PySpark and distributed data processing for feature engineering and model training.
  • Practical experience with ML frameworks such as Scikit-learn, and at least one deep learning framework (TensorFlow or PyTorch).
  • Solid understanding of supervised/unsupervised ML techniques and evaluation metrics (AUC, F1, precision/recall, lift, calibration).
  • Experience working within big data ecosystems (Hadoop, Spark) and data lake/lakehouse concepts.
  • Cloud experience in one or more platforms: Azure / AWS / GCP (compute, storage, orchestration, security basics).
  • Familiarity with MLOps practices: model versioning, reproducibility, CI/CD, automated testing, and monitoring.
  • Strong communication skills and ability to explain model outputs to business partners (especially marketing stakeholders).
Preferred / Nice-to-Have
  • Experience with customer marketing analytics: segmentation, personalization, recommender systems, attribution, uplift modeling, MMM, or experimentation.
  • Knowledge of feature stores, ML pipeline orchestration (Airflow, ADF, Step Functions, Composer), and model registries.
  • Experience with containerization & orchestration: Docker/Kubernetes.
  • Exposure to modern data platforms: Databricks, Snowflake, BigQuery, SageMaker, Vertex AI, Azure ML.
  • Familiarity with data governance, PII handling, consent frameworks, and regulatory requirements (industry dependent

Artech Information Systems