Senior Data Scientist

Vancouver, BC, Canada; Kitchener, ON, Canada; Canada

Conexiom

Instantly turn unstructured trade documents into structured data with The Conexiom Platform.

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Our fully automated, purpose-built solution eliminates the manual processing of business-critical commercial documents with 100% data accurate, touchless transactions. These documents include purchase orders, invoices, advance shipping notices, and other essential commercial documents exchanged between business and their customers.

 

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.
About Conexiom:Conexiom is a cloud-based, purpose-built automation platform that automates the most critical and complex B2B document transactions between buyers and sellers. Manufacturers and distributors across the globe, such as Grainger, Genpak, Honeywell, and Lonza, trust Conexiom to create resilient operations that scale, drive growth, reduce costs, and build frictionless relationships with their customers. Conexiom is based in Vancouver, British Columbia, and has offices in Kitchener, Ontario; London, England; and Chicago, Illinois. Visit Conexiom.com.

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 build products & internal processes that increase efficiencies and drive INNOVATION for our customers Our VALUES
  • 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
 Conexiom is proud to offer equal employment opportunities. If you have a need that requires accommodation at any time during the recruitment process, please reach out to our Talent Acquisition Manager at aendy@conexiom.com #LI-remote #LI-Hybrid
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  5  1  0
Category: Data Science Jobs

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

Regions: Remote/Anywhere North America
Country: Canada

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