Senior Data Scientist
4 weeks ago
Data Science Role Overview
Conexiom is a leading provider of touchless automation solutions for manual processing of purchase orders and other business documents, leveraging AI-driven automation technology.
This position, Senior Data Scientist - AI Driven Automation Expert, is central to our data science endeavors and requires a skilled professional to develop and implement machine learning models, conduct data analysis, and ensure seamless deployment and integration into production systems.
Key Responsibilities
- Experiment with various machine learning algorithms and techniques to identify suitable ones for given tasks.
- Conduct and validate model performance through comprehensive evaluation metrics.
- Analyze large datasets to extract actionable insights and trends.
- Implement machine learning models into production environments, ensuring scalability and reliability.
- Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
- Collaborate with data engineer and Principal ML engineer.
- Stay updated with the latest advancements in machine learning, AI, and data science.
Requirements and Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
- 3+ years' experience in implementing scalable ML systems into production environments.
- Experience in all parts of the ML project lifecycle, including initial conceptualization, data handling, model development, and deployment.
- Proficiency in programming languages, including Python.
- Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-Learn, etc.
- Experience developing Python APIs using tools like FastAPI.
- Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
- Familiarity with ML CI/CD pipelines for development, testing, versioning, and task automation.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Experience building an enterprise-class business automation solution is a plus.
- Experience working in a SaaS environment is a plus.
Compensation
The targeted salary range for this position falls between $140,000 and $170,000 CAD, depending on experience and qualifications.
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