Associate Director of Data Science

We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.

• Lead the delivery of AI and data science projects, managing a team of 4–5 developers and data scientists.
• Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.
• Collaborate with stakeholders to translate business requirements into scalable data science solutions.
• Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.
• Mentor and guide team members, fostering growth and knowledge sharing.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Maintain oversight of project timelines, resource allocation, and risk management.
• 8–10 years of professional experience in Data Science, including 2–3 years in a Delivery Lead or Team Lead capacity.
• Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.
• Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.
• Hands-on programming experience with Python and SQL.
• Demonstrated leadership and team management skills.
• Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications

• Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.
• Project management experience and familiarity with Azure cloud infrastructure.
• Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:

• Opportunity to lead cutting-edge AI projects across diverse industries.
• Work with a collaborative, high-performing team of data scientists and engineers.
• Influence the strategic direction of AI initiatives within the organization.