Data Scientist
Develop and operationalize enterprise machine learning and predictive analytics solutions. Build and maintain scalable MLOps and DataOps pipelines including CI/CD workflows and model monitoring.
- On-site
- Toronto, ON
- Posted Jul 7, 2026
- Apply by Aug 13, 2026
- 1 position
Job summary
360 Technology is seeking a **Data Scientist with DevOps and DataOps experience** to develop, deploy, and operationalize enterprise machine learning and analytics solutions. The ideal candidate will combine strong data science expertise with hands-on experience in MLOps, CI/CD, cloud platforms, and production data operations. **Key Responsibilities** * Develop machine learning, predictive analytics, and statistical models. * Perform data preparation, feature engineering, experimentation, and model evaluation. * Deploy and maintain models through scalable MLOps and DataOps pipelines. * Build CI/CD workflows for data science and machine learning applications. * Monitor model accuracy, data quality, performance, drift, and production reliability. * Collaborate with data engineers, business teams, architects, and DevOps professionals. * Automate cloud infrastructure, model deployment, testing, and release processes. **Required Skills** * Strong experience with Python, SQL, machine learning, and statistical modeling. * Experience with Pandas, Scikit-learn, TensorFlow, PyTorch, or similar frameworks. * Knowledge of Databricks, Snowflake, Spark, MLflow, or cloud machine learning platforms. * Experience with Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD. * Familiarity with Docker, Kubernetes, Terraform, APIs, and cloud platforms. * Understanding of MLOps, DataOps, model monitoring, data governance, and production support. Candidates must be available to work **onsite in Dallas, Texas**.
What you’ll do
Develop and operationalize enterprise machine learning and predictive analytics solutions. Build and maintain scalable MLOps and DataOps pipelines including CI/CD workflows and model monitoring.
Requirements
Requires strong expertise in Python, SQL, and ML frameworks along with experience in cloud platforms and DevOps tools. Candidates must have a background in MLOps and be able to work onsite in Dallas, Texas.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Machine Learning
- Statistical Modeling
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
- Databricks
- Snowflake
- Spark
- MLflow
- Azure DevOps
- GitHub Actions
- Docker
- Kubernetes
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Science & Research
Additional details
- Minimum experience
- 5+ years
- Apply by
- Aug 13, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available