Staff Data Scientist: AI Marketing Analytics

Profound

New York (NY)

On-site

USD 140,000 - 260,000

Full time

14 days+
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Job summary

Profound is the marketing platform for the age of AI search. We map every human and AI interaction to help brands turn AIs into advocates, building predictive models and sampling techniques to optimize visibility in AI-driven search.

You will work with large datasets, apply NLP/LLMs, and run experiments to measure impact, collaborating with the founding team to translate data insights into business strategies that move fast in a startup environment.

Qualifications

  • 3+ years of advanced analytics experience in technology, marketing, or advertising.
  • Proficient in Python, R, and SQL with hands-on experience querying and analyzing large datasets.
  • Expertise in data sampling techniques (stratified sampling, bootstrapping, extrapolation).
  • Strong background in predictive modeling and applying machine learning to estimate event frequency.
  • Deep understanding of large language models (LLMs) and their real-world applications.

Responsibilities

  • Develop and refine predictive models to analyze and forecast AI-driven search behavior.
  • Design sampling and data classification techniques to improve AI-driven brand insights.
  • Leverage LLMs and NLP to extract meaningful insights from unstructured text data.
  • Work with large datasets, ensuring efficiency in querying, cleaning, and classification.
  • Design and conduct A/B tests or other experimentation frameworks to measure impact.
  • Collaborate with the founding team to turn complex data insights into actionable business strategies.

Skills

Python
R
SQL
Predictive modeling
Data sampling
LLMs
NLP
Large datasets

Job description

Profound is the marketing platform for the age of AI search. We map every human and AI interaction to help brands turn AIs into advocates, building predictive models and sampling techniques to optimize visibility in AI-driven search.

You will work with large datasets, apply NLP/LLMs, and run experiments to measure impact, collaborating with the founding team to translate data insights into business strategies that move fast in a startup environment.

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