Data Scientist

Engineering

• New York City

• In-office

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About Profound

Profound is on a mission to help companies understand and control their AI presence. As a Data Scientist, you'll map every human-AI interaction to help brands turn AIs into their strongest advocates. You'll build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search (e.g., ChatGPT, Perplexity). Your work will directly impact how businesses shape their presence in the generative AI era.

What You'll Do

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/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. Who You Are

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, including stratified sampling, bootstrapping, and extrapolation.

Strong background in predictive modeling and applying ML techniques to estimate event frequency.

Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications.

Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements.

Comfortable in a fast-moving, high-performance startup environment.

This is an on-site role in our Union Square office -designed for builders who thrive on speed, iteration, and impact.

We're happy to support visa sponsorship for qualified international candidates.