Lead Data Scientist

About Thri5:
Thri5 is an early-stage startup building technology to modernize and transform retail supply chains through data and AI. Founded by a team with deep retail and retail technology experience, Thri5 is venture-backed by some of Canada’s most prominent VC and angel investors. Our mission is to solve the fragmentation in supply chain systems by creating a unified, AI-powered platform that provides actionable insights and optimizes operations for retailers.

Role Overview:
We are seeking an experienced Lead Data Scientist to join our founding team. This pivotal role involves driving the AI vision for Thri5, defining the problems we want to solve, and building AI into our core platform. The ideal candidate will have extensive experience in machine learning, data science, and AI application, with a proven ability to lead projects from conceptualization to implementation and build great products.

Key Responsibilities:

• AI Vision and Strategy: Leverage deep technical expertise in ML and AI to define and drive the AI strategy for Thri5 across all aspects of the platform.
• Problem Definition: Partner with Product and Engineering teams to leverage AI models in building high value products from ideation to execution and launch.
• Model Development: Develop, implement, and optimize high-performing AI and ML products to predict supply chain opportunities, optimize performance, and automate actionable changes.
• Data Responsibility: Take full ownership of data integration and ensure seamless data flow from various supply chain systems into the AI platform.
• Entrepreneurial Mindset: Demonstrate an entrepreneurial spirit by independently figuring out the necessary steps to advance projects, and proactively addressing challenges as they arise.
• Thought Leadership: Provide thought leadership in AI and data science, staying ahead of industry trends and continuously innovating to enhance Thri5’s platform

Required Skills and Experiences:

• Educational Background: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Experience: 10+ years of experience in data science and machine learning, with demonstrated success leveraging AI and ML to build and deliver high value products within supply chain and/or retail. Experience with LLMs, newest AI evolution, research and releases
• Technical Proficiency: Strong programming skills in Python, R, and Java. Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Experience with big data tools like Hadoop, Spark, and Kafka.
• Deep Learning Expertise: Extensive experience with deep learning frameworks such as TensorFlow and PyTorch, and a strong understanding of neural networks and other deep learning architectures.
• Analytical Skills: Expertise in predictive modeling, classification, clustering, and time-series analysis.
• Leadership: Proven ability to lead and scale a practice, with excellent project management and communication skills.
• Industry Knowledge: Experience in supply chain management, retail, or related industries is a plus.