Member of Technical Staff, Data Science

Slope; San Francisco (CA); On-site; USD 140,000 - 260,000; Full time

Job summary

Profound is the marketing platform for the age of AI search. This on-site Data Scientist role in our NYC or SF office focuses on mapping human and AI interactions to improve AI-driven brand insights.

You will build predictive models, develop sampling techniques, and optimize visibility in AI-powered search to help brands thrive in the generative AI era. You will work with large datasets, leverage LLMs, and collaborate with the founding team to translate insights into strategic actions, while

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, 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.

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

Data sampling techniques

Predictive modeling

LLMs

AI research

Startup environment

Job description

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten - AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.

We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures - and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.

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.