Data Science Leader
1 week ago
About Thri5
Thri5 is a pioneering startup dedicated to revolutionizing retail supply chains through cutting-edge technology and artificial intelligence. Founded by a team with extensive experience in retail and technology, Thri5 is backed by prominent venture capitalists and angel investors. Our mission is to unify fragmented supply chain systems by developing a comprehensive, AI-powered platform that provides actionable insights and optimizes operations for retailers.
Lead Data Scientist Role
We are seeking an accomplished Lead Data Scientist to join our founding team. This key role entails driving the AI vision for Thri5, defining problems to be solved, and integrating AI into our core platform. The ideal candidate will possess extensive experience in machine learning, data science, and AI application, with a proven ability to lead projects from conceptualization to implementation and build high-performing products.
Key Responsibilities
- AI Strategy and Vision: Utilize deep technical expertise in machine learning and AI to define and drive the AI strategy for Thri5 across all aspects of the platform.
- Problem Definition: Collaborate 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 machine learning 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 large language models, 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.
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