Data Scientist AI & Machine Learning Innovation *** Direct End Client

<>Overview

We re seeking a visionary data scientist to lead the evolution of AI-driven recommendation systems and monetization strategies. This role combines technical leadership, strategic thinking, and hands-on expertise in machine learning and generative AI to deliver transformative solutions at scale.

<>Key Responsibilities

• Architect and implement advanced machine learning systems that power intelligent recommendations and personalized experiences.
• Define and execute a forward-looking technical vision for AI capabilities, including generative AI and agent-based systems.
• Collaborate with engineering, product, and analytics teams to align technical strategy with business objectives.
• Design and optimize large-scale AI platforms, ensuring scalability, reliability, and operational excellence.
• Stay ahead of emerging trends in AI, identifying opportunities and risks to guide innovation and maintain competitive advantage.
• Mentor and guide data scientists and engineers, fostering best practices and technical excellence.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

<>Required Qualifications

• MS or PhD in Computer Science, Machine Learning, Data Science, or related field.
• 10 years of experience in data science, software engineering, or AI systems architecture.
• Proven track record of building and scaling machine learning systems for real-world applications.
• Strong programming skills in Python, Java, or C .
• Expertise in designing next-generation AI solutions, including generative AI and semantic search.
• Exceptional communication and leadership skills, with the ability to influence cross-functional teams.

<>Preferred Qualifications

• Experience in ad technology or monetization strategies.
• Background in developing generative AI capabilities and supporting infrastructure.
• Ability to thrive in fast-paced, large-scale environments.

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data scientist, machine learning, AI, generative AI, recommendation systems, semantic search, knowledge graph, Python, Java, C , big data, ETL, ad tech, monetization, data architecture, AI systems, ML pipelines, predictive modeling, deep learning, cloud computing, distributed systems, operational excellence, leadership, mentoring, innovation

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