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Principal Data Scientist

Spotter

$190,000 - $210,000
Aug 20, 2025
Culver City, CA, US
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Spotter is looking to drive its Capital Deployment and Advertising Sales strategies by applying cutting-edge modeling techniques to impactful business challenges in the dynamic world of the creator economy.

Requirements

  • Extensive experience in developing and deploying advanced machine learning models (XGBoost, CNN, LSTM, SVM, or similar).
  • Experience in large data processing and handling is a plus - familiarity with big data platforms (Hadoop, Pig, Hive, Spark, AWS, Databrics), querying languages (SQL, scripting) and analytical languages (Python or R).
  • Proven ability to lead and mentor data science teams.
  • Strong expertise in MLOps strategies.
  • Experience with large-scale data processing and analysis.
  • Passionate about staying up-to-date with the latest advancements in AI and LLMs.

Responsibilities

  • Lead the development and deployment of advanced AI/ML solutions and pipelines.
  • Architect, build and oversee predictive models using advanced machine learning techniques such as GBM, NLP, CNN, LSTM techniques to help grow Capital Deployment and Ad Sales business units.
  • Leverage large-scale digital data sources (Web, App, API) and sophisticated analytics platforms within an industry-leading Big Data ecosystem.
  • Design and deliver everything from basic reports to advanced machine learning models and algos to help YouTube creators to grow from “creators” to “enterprises” with world class underwriting models and brand efficient media solutions to optimize media yield.
  • Maintain, optimize and innovate analytic models driving all insights and reporting.
  • Enable visibility, generate insights and create early performance indicators for licensed content.
  • Collaborate with the Engineering team to test, implement and deploy modeling solutions to production systems.

Other

  • Master’s degree or PhD in Data Science or a related quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research) is required.
  • 8+ years experience with a Master's or 6+ years professional experience with a PhD.
  • Excellent communication and presentation skills.
  • Strategic thinker with the ability to translate complex technical concepts into actionable plans.