Description

In this role, you will drive the strategic vision for Data Science by identifying AI/ML opportunities and leading the development of innovative models. Your work will involve collaboration across teams to align initiatives with business goals and ensure the effective deployment of scalable solutions.

Requirements

• •Advanced academic credentials in a quantitative field
• •10+ years of experience in data science, machine learning, or applied AI
• •Expert-level programming skills in Python and SQL
• •Direct experience with GenAI/LLM technologies
• •Deep knowledge of machine learning algorithms
• •Strong hands-on experience with cloud infrastructure and containerization
• •Proven capability in MLOps
• •Experience deploying and serving models through APIs
• •Excellent communication and stakeholder management skills
• •Demonstrated success mentoring teams and guiding technical strategy
• •Experience working in agile product development environments
• •Valued personality, ambition, and open mind

Tasks

• •Shape the strategic direction of Data Science
• •Identify transformative AI/ML opportunities
• •Lead the design and deployment of predictive and generative AI models
• •Collaborate with product leaders to align ML initiatives with business goals
• •Drive product innovation through data-driven experimentation
• •Architect scalable ML infrastructure using cloud-native tools
• •Support efficient model training, deployment, and analytics
• •Ensure performance and compliance of production AI models
• •Provide technical leadership and mentorship to data scientists
• •Foster a high-performance and innovative team culture
• •Serve as a cross-functional technical leader
• •Influence architecture and technical standards across the organization
• •Lead resolution of complex modeling issues
• •Act as the escalation point for critical incidents
• •Explore and strategically apply GenAI
• •Identify high-impact use cases for integration across products

Tools & Technologies

Benefits