Data Scientist – Media Mix Modeling & 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

Data Scientist - Media Mix Modeling & AI Mountain View, California, United States 6 - 10 Years Permanent

Job Description

Data Scientist - Media Mix Modeling & AI

Location: Mountain View, California, United States
Experience: 6-10 years
Employment Type: Full-Time

About LatentView Analytics

LatentView Analytics is a global data and analytics company that partners with Fortune 500 enterprises to turn data into business decisions. With a strong focus on AI-led transformation, LatentView delivers solutions across advanced analytics, machine learning, AI engineering, and data platform modernization.

We serve clients across Consumer Packaged Goods (CPG), Marketplace & Retail, and Industrial sectors, with a significant global presence across North America and Europe and delivery centers in Gurgaon, Bengaluru, and Chennai.

As AI moves from experimentation to production, LatentView is building the technical leadership layer that connects business outcomes with engineering excellence and enables enterprise-scale analytics and AI solutions.

About the Role

We are looking for an experienced Data Scientist with strong expertise in Media Mix Modeling (MMM), marketing analytics, machine learning, and AI. In this role, you will work on complex marketing and business problems, developing analytical models that help organizations measure marketing effectiveness, optimize investments, and make data-driven decisions.

The ideal candidate combines strong statistical and analytical foundations with hands-on experience in MMM and modern AI/ML techniques. You should be comfortable working independently with large datasets, translating analytical findings into actionable business recommendations, and collaborating with both technical and business stakeholders.

Key Responsibilities

• Develop, enhance, and maintain Media Mix Models (MMM) to measure the incremental impact of marketing campaigns, web experiments, and structural or market changes.
• Collect, prepare, validate, and manage data and variable definitions required for MMM development.
• Build scalable and reproducible analytical workflows to structure, extract, analyze, and generate insights from marketing data.
• Apply machine learning, Generative AI, and LLM-based approaches where appropriate to enhance marketing analytics, measurement, and campaign optimization.
• Translate complex model outputs and analytical findings into clear, actionable insights and recommendations for marketing and business stakeholders.
• Conduct scenario analysis, forecasting, and optimization to support media investment and budget allocation decisions.
• Troubleshoot data quality, modeling, and analytical issues and independently drive solutions.
• Document methodologies, assumptions, code, data requirements, and analytical outputs to enable knowledge transfer and maintain high-quality deliverables.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective analytical solutions.
• Adapt priorities and deliverables as project requirements and business needs evolve.

Required Qualifications & Skills

• 6-10 years of experience in data science, marketing analytics, econometrics, quantitative analytics, or a related field.
• Demonstrated hands-on experience building Media Mix Models that have supported marketing investment, campaign measurement, or budget allocation decisions.
• Strong understanding of statistical modeling, marketing measurement, incrementality, experimentation, and analytical problem-solving.
• Strong proficiency in Python and/or R.
• Strong SQL skills with experience working with large-scale data.
• Experience with Hive, SparkSQL, PySpark, or similar big-data technologies.
• Hands-on experience developing and productionizing machine learning models.
• Experience applying Generative AI and/or LLMs to analytics, data science, or business workflows.
• Understanding of AI/ML and agentic development concepts and their practical application.
• Ability to independently manage analytical projects, troubleshoot complex problems, and deliver high-quality results.
• Strong written and verbal communication skills, with the ability to communicate technical concepts and insights effectively to business stakeholders.

Preferred Education

• Master's degree or PhD in Statistics, Economics, Mathematics, Finance, Business, Data Science, or another quantitative discipline preferred.
• A Bachelor's degree combined with substantial relevant professional experience will also be considered.

Required Skills

Media Mix Modeling (MMM) | Machine Learning | Artificial Intelligence | Generative AI | LLMs | Agentic AI Development | Python/R | SQL | Marketing Analytics | Statistical Modeling | Econometrics