Data Scientist: Media Mix Modeling & Generative AI

Latent View Analytics Limited; Mountain View (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

LatentView Analytics seeks a Data Scientist specialized in Media Mix Modeling and AI to join our Mountain View team. You will develop MMMs, leverage marketing analytics, and apply ML/AI techniques to optimize campaigns and investments.

The role requires 6-10 years of experience, strong Python/R and SQL skills, and the ability to translate complex results into business recommendations. Collaboration with cross-functional stakeholders is essential.

Qualifications

• 6-10 years of experience in data science or analytics.
• Hands-on MMM development experience.
• Strong Python and/or R programming.
• Excellent SQL skills with large-scale data.
• Experience applying Generative AI/LLMs to analytics.
• Strong communication to translate analysis to business insights.

Responsibilities

• Develop, maintain, and enhance Media Mix Models to measure marketing impact.
• Collect, prepare, and manage data definitions for MMM development.
• Build scalable analytics workflows to extract insights from marketing data.
• Apply machine learning, Generative AI, and LLMs to analytics and optimization.
• Translate model outputs into actionable insights for stakeholders.
• Conduct scenario analysis, forecasting, and budget optimization.
• Troubleshoot data quality and modeling issues; drive solutions.
• Document methodologies, data requirements, and results for knowledge transfer.

Skills

Media Mix Modeling

Marketing Analytics

Machine Learning

AI/Generative AI

Python

R

SQL

Big Data

Communication

Education

Master's or PhD in Statistics/Economics/Mathematics/Finance/Data Science

Bachelor's degree with relevant experience

Tools

Hive

SparkSQL

PySpark

Job description

LatentView Analytics seeks a Data Scientist specialized in Media Mix Modeling and AI to join our Mountain View team. You will develop MMMs, leverage marketing analytics, and apply ML/AI techniques to optimize campaigns and investments.

The role requires 6-10 years of experience, strong Python/R and SQL skills, and the ability to translate complex results into business recommendations. Collaboration with cross-functional stakeholders is essential.