Profound

Data Scientist

New York, New York, United StatesFull time$140,000 - $230,000 / yearPosted 12 days ago
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Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel.

Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us.

As a Data Scientist, you will map every human and AI interaction to help brands turn AIs into their strongest advocates. You will build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search, such as ChatGPT and 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 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

WHO YOU ARE

- 3 or more 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, ...