Associate Director of Data Science

Blend360-posted 3 months ago
Full-time • Senior
Columbia, MD
1,001-5,000 employees
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We are seeking a highly skilled and experienced Data Scientist 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.
  • 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.
  • 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.
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