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# Senior Data Scientist, Ad Platform

- **Company:** LGA AIRPORT RESTAURANTS, L.P.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Big Data, Computer Programming, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, SQL Databases, Apache Spark, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4a127f6e3ec3583e

## About the Role

* Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, or a related field.
 * 3+ years of experience in data science, analytics, or machine learning, preferably in an advertising or digital marketing environment.
 * Strong programming skills in Python, R, or SQL, with experience in big data technologies such as Spark, Hadoop, or TensorFlow.
 * Expertise in statistical analysis, A/B testing, and causal inference.
 * Experience working with large-scale ad datasets and real-time bidding (RTB) platforms is a plus.
 * Knowledge of ad attribution, auction dynamics, and user behavior modeling.
 * Ability to communicate complex data insights in a clear and concise manner to non-technical stakeholders.
 * Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

## Description

We are seeking a highly skilled and motivated Data Scientist to join our Ad Platform team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to optimize ad delivery, improve targeting, and enhance the overall advertising experience. You will work closely with cross-functional teams, including engineering, product, and sales, to drive data-driven decision-making and innovation within our ad platform., * Analyze large-scale datasets to identify trends, inefficiencies, and opportunities for optimizing ad performance and revenue.

 * Design A/B experiments to evaluate and improve ad products, bidding strategies, and user engagement.
 * Provide actionable insights through data visualization, reporting, and dashboards.
 * Work closely with engineers to build scalable data pipelines and real-time machine learning systems.
 * Collaborate with product managers to define key performance metrics and guide product roadmaps with data-driven insights.
 * Utilize advanced statistical techniques and algorithms to measure and enhance ad personalization and recommendation systems.
 * Participate, research and implement machine learning models and data-driven solutions to improve ad targeting, ranking, and delivery.


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