Principal Data Scientist (Entertainment Domain) (Glendale) Job at Mogi I/O : OTT/Podcast/Short Video Apps for you, Glendale, CA

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  • Mogi I/O : OTT/Podcast/Short Video Apps for you
  • Glendale, CA

Job Description

Principal Data Scientist (Entertainment Domain)

Principal Data Scientist (Entertainment Domain)

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Job Description

We are seeking a Principal Data Scientist to join a high-impact, innovation-driven team within a global leader in the Entertainment & Media industry. This role is ideal for someone who thrives at the intersection of advanced AI/ML technology, large-scale data, and storytelling-driven business objectives.

As a thought leader in Data Science, you will design and deploy production-grade machine learning models, mentor engineers, and play a pivotal role in driving data strategy across departments. You will leverage modern platforms such as Snowflake Cortex, Python, AWS, and SQL to tackle real-world business challenges at scale.

  • Design and deploy ML/AI solutions for content personalization, forecasting, and business optimization.
  • Develop and maintain robust data pipelines and production-grade model architectures.
  • Perform deep statistical analyses to extract insights from large, complex datasets.
  • End-to-end ownership from feature engineering to model performance monitoring.
  • Collaborate cross-functionally with Data Engineering, Product, and Content teams.
  • Stay current with the latest in AI/ML tools, trends, and methodologies.
  • Mentor junior data scientists and contribute to best practice development.
  • Champion data quality, model governance, and responsible AI use.

Job Description

We are seeking a Principal Data Scientist to join a high-impact, innovation-driven team within a global leader in the Entertainment & Media industry. This role is ideal for someone who thrives at the intersection of advanced AI/ML technology, large-scale data, and storytelling-driven business objectives.

As a thought leader in Data Science, you will design and deploy production-grade machine learning models, mentor engineers, and play a pivotal role in driving data strategy across departments. You will leverage modern platforms such as Snowflake Cortex, Python, AWS, and SQL to tackle real-world business challenges at scale.

Key Responsibilities

  • Design and deploy ML/AI solutions for content personalization, forecasting, and business optimization.
  • Develop and maintain robust data pipelines and production-grade model architectures.
  • Perform deep statistical analyses to extract insights from large, complex datasets.
  • End-to-end ownership from feature engineering to model performance monitoring.
  • Collaborate cross-functionally with Data Engineering, Product, and Content teams.
  • Stay current with the latest in AI/ML tools, trends, and methodologies.
  • Mentor junior data scientists and contribute to best practice development.
  • Champion data quality, model governance, and responsible AI use.

Required Qualifications

  • MS or PhD in a quantitative field (e.g., Computer Science, Statistics, Engineering).
  • 10+ years in data science roles with hands-on ML solution delivery.
  • Advanced proficiency in Python and libraries like scikit-learn, NumPy, Pandas.
  • Strong experience with cloud platforms (AWS) and tools like Snowflake, Databricks, BigQuery (preferred).
  • Deep understanding of statistical methods, predictive modeling, and machine learning algorithms.
  • Strong communication skills and leadership experience.

Optional/Preferred

  • Experience in the media, entertainment, or streaming domain.
  • Familiarity with Snowflake Cortex or similar LLM/AI tooling platforms.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

  • Industries

    Software Development

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Job Tags

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Job Summary
  • Location
    Glendale, CA
  • Job Type
    Full Time
  • Date Posted
    2025-09-01
  • Expiration date
    2025-10-31