Leader Data Scientist

7 days ago


Old Toronto, Canada Enable International Full time
p>Enable is the leading SaaS rebate management platform that fosters trusted relationships between B2B trading partners by automatically detecting and reporting on due rebates. p>

Customers configure their deals, and Enable ingests and processes all their sales transactions, helping them uncover rebates they might otherwise miss. This involves processing enormous amounts of data in very short time frames, performing billions of calculations per customer, and storing it all in enterprise-scale databases. We provide reporting, deal editing, and collaboration capabilities, and new solutions daily to overcome significant challenges where there are no standard techniques for addressing them; p>

As the Lead Data Scientist, you will play a crucial role in shaping the development of cutting-edge machine learning and AI-driven products at a leading SaaS tech company. This applied AI role focuses on driving innovation by strategically developing and integrating novel AI solutions across both our products and business operations. With machine learning unlocking advanced insights and solutions, and the rapid evolution of large language models (LLMs) transforming how we approach industry challenges, we are looking for a forward-thinking Lead Data Scientist to join our newly established ML and Data Science team. You will collaborate closely with product and engineering teams to deliver innovative solutions that push the boundaries of AI in the optimization of rebate management. h3>

  • Explore vast, untapped data assets and provide strategic recommendations on AI initiatives to senior leadership.
  • Create, and maintain evaluation pipelines and tools for assessing AI models’ performance and accuracy.
  • Engage with key stakeholders to ensure AI initiatives meet company goals, and effectively communicate results to both technical and non-technical audiences.
  • Ensure all AI applications adhere to ethical standards, industry best practices, and legal requirements.
  • Partner with Product Management and Engineering teams to develop a roadmap for the delivery of AI and machine learning tools.
  • Collaborate with Data Engineering to build a cutting-edge data platform that unlocks the full potential of the company's data.
  • Serve as a thought leader in AI and data science, driving innovation and staying ahead of industry trends to enhance existing products.


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