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Data Scientist (Generative AI Focus)

ExecutivePlacements.com

$110,000 - $130,000
Nov 13, 2025
New York, NY, United States of America
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Known is seeking a Data Scientist to understand core business objectives and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques to make work less repetitive and manual, more optimized, and seeking better outcomes for media activation and media consulting clients.

Requirements

  • Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning
  • Proven experience in developing and deploying solutions using Generative AI, particularly text-based Large Language Models (e.g., experience with APIs like OpenAI's, or open-source models)
  • Experience utilizing Python and SQL
  • Experience building data science software or analytical workflows
  • Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain
  • Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies
  • Experience working on a tech team, with experience in cloud technologies, version control, etc

Responsibilities

  • Explore, develop, and deploy Generative AI (specifically LLM-based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights
  • Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine-tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known's clients
  • Work with other data scientists and engineers to productionalize new tools, including GenAI-powered applications
  • Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain

Other

  • A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred
  • 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience
  • Superb communication and presentation skills
  • Ability to prioritize time, work and effort while multitasking on multiple projects
  • Desire to mentor and teach others