Lead Data Scientist, Ad Research
Role details
Job location
Tech stack
Job 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 generation 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.
WHAT YOU'LL DO
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Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery.
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Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.
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Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations.
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Define and evaluate key metrics in various product areas.
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Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications.
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Develop Standard Operating Procedures for human-driven evaluations or labeling.
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Deliver data insights and provide data-driven recommendations to cross-team stakeholders.
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Design and analyze A/B tests for machine learning algorithm iterations.
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Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment.
Requirements
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Bachelor's in computer science, statistics or equivalent experience
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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.
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Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models.
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Strong interest to learn about generative mixed media, generative video, and diffusion-based technology.
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Solid knowledge of data science and statistics. Strong communication skills and business acumen.
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Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
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Experience designing and building machine learning models.
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Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
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Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement.
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Experienced building data-driven services and applications for production.
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A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
NICE-TO-HAVES
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MS or PhD in computer science, statistics or equivalent experience
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Experience in digital video advertising or digital marketing domain
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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.
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Experience with Airflow, data warehouse, Databricks or Sagemaker.
Benefits & conditions
The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
