Senior Data Scientist

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Known

πŸ’΅ $110k-$150k
πŸ“Remote - United States

Summary

Join Known's Channel Data Science team as a Data Scientist or Senior Data Scientist, contributing to the development and deployment of Generative AI tools for marketing applications. Collaborate with cross-functional teams to build innovative solutions using LLMs and other AI techniques. Responsibilities include developing predictive models, workflow automation apps, and applying Generative AI for novel marketing solutions. The ideal candidate possesses strong analytical, communication, and problem-solving skills, along with experience in quantitative analysis, statistical modeling, and machine learning. Experience with Python, SQL, and Generative AI technologies is required. Known offers a competitive salary, unlimited paid time off, 401k matching, annual bonuses, and a generous medical plan.

Requirements

  • 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
  • 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
  • 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience
  • 1+ years of experience building data science software, ideally including applications leveraging AI/ML models
  • 4+ years (with Masters) or 2+ years (with PhD) of hands-on experience. Candidates with a Bachelors degree and 5+ years of highly relevant experience may also be considered
  • 3+ years building data science software or robust analytical workflows
  • Leadership experience managing or mentoring junior data scientists
  • Superb communication and presentation skills
  • An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning
  • Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies
  • Proven ownership of projects taken to completion
  • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
  • Experience working on a tech team, with experience in cloud technologies, version control, etc
  • 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

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
  • 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
  • Manage multiple concurrent projects and serve as a technical leader on complex AI initiatives

Preferred Qualifications

  • Experience in advertising or advertising technology is a plus
  • Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred
  • (Optional but recommended): Portfolio of projects or case studies demonstrating successful application of advanced modeling techniques to solve complex marketing problems (preferred)

Benefits

  • Unlimited paid time off
  • 401k with company matching and no vesting period
  • Annual bonuses
  • Generous medical plan
  • Paid parental leave

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