Lead Data Scientist

About the Role

A Lead Data Scientist drives innovative analytics initiatives within supply chain and finance domains, applying advanced machine learning and statistical techniques to solve complex business problems such as demand forecasting, inventory optimization, financial modeling, and anomaly detection.

Responsibilities

• Design and implement AI solutions, including Gen AI and multi-agent architectures, to deliver customer-focused impact.
• Develop predictive models and optimization algorithms to enhance operational efficiency and financial outcomes.
• Lead end-to-end data science projects, working with large datasets to extract insights and ensure model robustness using MLOps best practices.
• Collaborate with cross-functional teams to translate analytical findings into actionable insights, supporting decision-making.
• Maintain compliance and governance standards in analytics initiatives.
• Mentor junior team members, stay updated on industry trends, and introduce cutting-edge techniques to foster continuous improvement.

Requirements

• Expertise in data science, machine learning, and statistical modeling.
• Strong domain knowledge in supply chain and finance KPIs.
• Proficiency in managing large, complex datasets and deploying scalable models.
• Excellent communication skills to bridge technical and business teams.
• Leadership qualities to mentor teams and promote innovation.