Lead Data Scientist

Responsibilities

• Lead and mentor a team of data scientists to develop innovative solutions for complex business problems.
• Design and implement statistical models, machine learning algorithms, predictive analytics, and agentic systems.
• Manage end-to-end machine learning pipelines, including building, deploying, and maintaining models.
• Collaborate with cross-functional teams, including product managers, software engineers, and data engineers.
• Assess client business needs to identify opportunities for AI to improve processes or increase revenue.
• Communicate technical insights and strategic recommendations to non-technical stakeholders.

Requirements

• Bachelor's, Master's, or PhD in mathematics, engineering, computer science, or a related field.
• 6+ years of experience in Data Science, Machine Learning, and Generative AI.
• 4+ years of hands-on experience with AWS, specifically in deploying models and managing compute environments.
• 2+ years of hands-on experience with IBM WatsonX.
• Experience with agentic AI tools such as LangGraph or Google ADK.
• Experience with advanced RAG and multi-agent systems.
• Proficiency in Python, R, C++, and SQL.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• Proven experience leading data science teams and managing multiple projects.

About the Company

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive enterprise AI transformation across various industries, including retail, manufacturing, and government. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of specialty services that allow organizations of any size to implement and scale AI.