Profound is hiring a Data Scientist in San Francisco to build predictive models and optimize AI-driven brand visibility. The ideal candidate has 3+ years of advanced analytics experience, strong skills in Python, R, and SQL, and a passion for AI research. Responsibilities include developing predictive models, working with large datasets, and collaborating with teams to turn data insights into strategies. This on-site role offers a base salary between $140,000 and $260,000, with a competitive compensation package.
Qualifications
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 and bootstrapping.
Strong background in predictive modeling and applying machine learning techniques.
Responsibilities
Develop and refine predictive models to analyze 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.
Collaborate with the founding team to turn complex data insights into actionable business strategies.
Skills
Predictive modeling
Python
R
SQL
Data sampling techniques
Machine learning
Natural Language Processing (NLP)
Job description
Profound is hiring a Data Scientist in San Francisco to build predictive models and optimize AI-driven brand visibility. The ideal candidate has 3+ years of advanced analytics experience, strong skills in Python, R, and SQL, and a passion for AI research. Responsibilities include developing predictive models, working with large datasets, and collaborating with teams to turn data insights into strategies. This on-site role offers a base salary between $140,000 and $260,000, with a competitive compensation package.