Data Scientist

EPDD
• New York, New York • San Francisco, California
• In-office

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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, and extrapolation
• Strong background in predictive modeling and applying machine learning techniques to estimate event frequency
• Deep understanding of large language models, 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

Location

This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.

For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound's total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.