Data Scientist

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

Benefits offered by this job

Competitive salary

Equity options

Full range of benefits

Job summary

Slope is seeking a Data Scientist in San Francisco to enhance AI-driven brand strategies. You will develop predictive models and optimize brand visibility by leveraging cutting-edge algorithms.

The ideal candidate will have extensive analytics experience and proficiency in Python, R, and SQL. This on-site position offers a competitive salary range of $140,000 to $260,000 based on location and qualifications.

Qualifications

• 3 or more years of advanced analytics experience in technology, marketing, or advertising.
• Proficient in Python, R, and SQL for analyzing large datasets.
• Expertise in data sampling techniques like stratified sampling and bootstrapping.
• Strong background in predictive modeling and machine learning.

Responsibilities

• Develop predictive models to analyze AI-driven search behavior.
• Design techniques for data classification to improve brand insights.
• Leverage LLMs to extract insights from unstructured data.
• Conduct A/B tests to measure impact.

Skills

Python

R

SQL

Predictive modeling

Data sampling techniques

Machine learning

NLP

Job description

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.