Projas Technologies

Projas Technologies

16 jobs near Columbus, OH

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

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

Projas Technologies, LLC

Mountain View, CA

Other

Posted 15 days ago


Job description

<>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.

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