Data Science Expert: High-Level Recommendation Algorithm Developer

3 days ago


Los Angeles, California, United States Triunity Software, Inc. Full time

We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps.

About the Role

As a member of our team, you will play a pivotal role in shaping the future of our streaming services by applying state-of-the-art machine learning methods to meet strategic product personalization goals.

Key Responsibilities
  • Algorithm Development and Maintenance: Utilize cutting-edge machine learning techniques to develop and enhance algorithms for personalization, recommendation, and predictive systems. Take ownership of maintaining and optimizing algorithms deployed in production environments.
  • Analysis and Algorithm Optimization: Conduct in-depth analysis of user interactions within our apps and user profiles to drive improvements in key personalization metrics. Collaborate with data scientists and engineers to refine algorithms and enhance their performance continually.
  • Collaboration with Product and Business Stakeholders: Identify and define new personalization opportunities by collaborating with product and business stakeholders.
Requirements
  • 7+ years of analytical experience
  • 5+ years of experience developing machine learning models and performing data analysis with Python and tensor-based model development frameworks (e.g. PyTorch, Tensorflow)
  • 5+ years writing production-level, scalable code (e.g. Python, Scala)
  • 5+ years of experience developing algorithms for deployment to production systems
  • In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings for recommendation engines
  • Familiarity with data exploration and data visualization tools like Tableau, Looker, etc.
  • Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
  • Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
Preferred Qualifications
  • MS or PhD in computer science, data science, statistics, math, or related quantitative field
  • Production experience with developing content recommendation algorithms at scale
  • Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment

Our compensation package includes an estimated salary range of $140,000-$160,000 per year.

We offer flexible work-from-home options and a collaborative work environment that encourages innovation and growth.


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