Tiger Analytics

Principal Data Scientist, Recommendation Systems

Tiger Analytics

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Lead

Tech Stack

AzureCloudGoogle Cloud PlatformPySparkPython

About the role

  • Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment.
  • Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
  • Collaborate with engineering and product teams to integrate ML solutions into business applications.
  • Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives.
  • Provide technical guidance and mentorship to junior data scientists and engineers.
  • Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills.
  • Drive innovation by exploring and implementing new techniques in recommendation systems and AI.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • 10+ years of overall experience in Data Science / Machine Learning.
  • 4+ years of hands-on experience in Recommendation Systems.
  • Proven expertise in recommendation algorithms and MLE practices.
  • Strong programming skills in Python and PySpark.
  • Experience working with Databricks, Azure, and Google Cloud Platform (GCP).
  • Demonstrated leadership and project management experience.
  • Strong communication, client-facing, and stakeholder management skills
  • Proactive, accountable, and able to take ownership of complex initiatives.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.