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Senior Product Manager, Analytics

Senior Product Manager, Analytics

Confluent, IncBC, Canada
18 days ago
Job type
  • Full-time
Job description

We seek a skilled and experienced data engineer to build data pipelines for data-driven plastic recycling. A successful candidate will join our dynamic team to design and develop pipelines for data gathering and analytics in recycling. An ideal candidate will have a strong data engineering / infrastructure knowledge, experience in machine learning and a software background. Chemical and process engineering knowledge, familiarity with IOTs, transformer-based architectures are a plus.

Responsibilities :

  • Build and maintain scalable data pipelines and processing using Python and SQL on local terminals and AWS. Enforce data hygiene to ensure accuracy.
  • Improve upon existing analytical data processing pipelines and machine learning algorithms.
  • Fine-tune and deploy transformer-based architectures to make process recommendations.
  • Collaborate across teams to develop and integrate data solutions into recycling lines. Report and present the state of the data pipelines and gathering capabilities.
  • Develop data acquisition pipelines for edge devices (e.g., sensors.) Ensure communication between edge devices and central systems using well-established protocols.
  • Develop and debug software for Windows platforms using C++, C#, or scripting languages

Candidate Requirements :

  • 2+ years of experience in data engineering, software engineering, or machine learning.
  • Experience in Python, SQL, PyTorch, Windows Programming, and edge-device SDKs.
  • Understanding of cloud computing platforms and machine-learning development.
  • Track record of building and shipping high-quality work and achieving high reliability.
  • Experience with prototyping for a local real-time application.
  • Demonstrated problem-solving skills and critical thinking.
  • Strong communication skills and the ability to collaborate effectively across teams.
  • Comfortable working in a dynamic environment
  • Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Background in chemical engineering and materials processing is a plus
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