Known is seeking to leverage Generative AI and data science to drive innovation and improve marketing solutions for their 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
- 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 tools for marketing applications
- Develop new techniques to improve Known IP and create tools for Known's clients
- Work with other data scientists and engineers to productionalize new tools
- Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain
- Lead the exploration, development, and deployment of complex Generative AI initiatives
- Mentor other data scientists on the team, including upskilling them in Generative AI concepts and techniques
- Drive innovation by staying at the forefront of AI advancements and identifying strategic applications
Other
- Superb communication and presentation skills
- Ability to translate business challenges into quantitative problems, and solve them by whatever means necessary
- Proven ownership of projects taken to completion
- A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
- Ability to prioritize time, work and effort while multitasking on multiple projects
- Desire to mentor and teach others
- Collaborative attitude
- Self motivated and exhibits initiative
- Willing & able to learn quickly
- Abundant intellectual curiosity and integrity
- Bachelors, Masters or PhD from a well-regarded college or university
- STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred
