Senior Data Scientist
Vancouver, BC, Canada; Kitchener, ON, Canada; Canada
Conexiom
Instantly turn unstructured trade documents into structured data with The Conexiom Platform.
About the Role:
As Conexiom continues to be experiencing significant growth, we are scaling our data science initiatives to the next level. Conexiom’s data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with a proven ML product already in the market, a strong team and seniors to assist you in taking the next steps in your career.
Responsibilities:
- Experiment with various machine learning algorithms and techniques to identify the most 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.
- Work closely with the data engineer and Principal ML engineer.
- Stay updated with the latest advancements in machine learning, AI, and data science
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 the production environment.
- Experience in all parts of the lifecycle of ML projects, 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 such as FastAPI.
- Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
- Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
- Familiar 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 a plus.
- Stay updated with the latest advancements in machine learning, AI, and data science.
Conexiom embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are working to ensure that the profile of our staff reflects the profile of the communities we work in and serve. For that reason, we seek resumes and expressions of interest from a broad and diverse talent pool. Strength comes from the inclusion of diverse perspectives and experiences.
Reasons to work for Conexiom:
Our MISSION is to transform broken processes into business valueWe are DATA-driven and RESULTS-focused We show our COMMITMENT to the people that make-up Conexiom by:- Training and development opportunities
- Competitive compensation
- Work/Life balance – Open PTO Policy in North America & Flex days in the UK
- Comprehensive health, dental, & vision insurance
- We care for each other
- We hold ourselves accountable
- We make our customers heroes
- We over-communicate
- We are inclusive & want to make change for the better
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Azure CI/CD Computer Science Databricks Docker FastAPI GCP Kubernetes Machine Learning ML models MongoDB Pipelines Python PyTorch Scikit-learn SQL Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay Health care
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