Lead Decision Scientist

Key Deliverables:

• Lead development of ML models and statistical algorithms for business-critical decisions
• Build modularized code and reusable assets to support scalable analytics solutions
• Design and deliver visualization layers or recommendations to drive adoption
• Mentor junior data scientists and oversee end-to-end project execution

Role Responsibilities:

• Translate business needs into analytical solution frameworks
• Apply advanced analytics techniques like regression, clustering, NLP, and forecasting
• Manage stakeholder expectations and proactively drive solution consumption
• Stay current with industry trends and embed continuous learning within the team