> Markdown version of [/jobs/ext/1936296-lead-data-scientist-ad-research-in-santa-monica](https://www.wearedevelopers.com/jobs/ext/1936296-lead-data-scientist-ad-research-in-santa-monica). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Scientist, Ad Research in Santa Monica

- **Company:** Energy Jobline
- **Location:** Santa Monica, CA, United States
- **Experience:** Expert
- **Salary:** $155,700.0 - $208,700.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Data Visualization, Data Warehousing, Digital Technology, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Standard Sql, Tableau (Software), Large Language Models, Information Technology, Data Analytics, Data Pipelines, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.energyjobline.com/job/lead-data-scientist-ad-research-santa-monica-31331772

## About the Role

* Bachelor's in computer science, statistics or equivalent experience
\n

 * At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus.
\n

 * Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models.
\n

 * Strong interest to learn about generative mixed media, generative video, and diffusion-based technology.
\n

 * Solid knowledge of data science and statistics. Strong communication skills and business acumen.
\n

 * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
\n

 * Experience designing and building machine learning models.
\n

 * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
\n

 * Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement.
\n

 * Experienced building data-driven services and applications for production.
\n

 * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
\n, * MS or PhD in computer science, statistics or equivalent experience
\n

 * Experience in digital video advertising or digital marketing domain
\n

 * Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn.
\n

 * Experience with Airflow, data warehouse, Databricks or Sagemaker.
\n

## Description

As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)