Senior Data Scientist, Crunchyroll

• The ideal candidate will bring a strong foundation in statistical and machine learning fundamentals, coupled with expertise in modern data science tech stacks, to drive impactful solutions for both consumer-facing and stakeholder-oriented initiatives
• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• Strong understanding of statistical and machine learning fundamentals and their practical applications
• Proven experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems
• Proficiency in Python and familiarity with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, TensorFlow, or PyTorch
• Experience with modern data processing tools (e.g., Apache Spark, SQL) and cloud infrastructure and services (e.g., AWS, Google Cloud, Databricks)
• Familiarity with MLOps practices and tools (e.g., Version Control, Pipelines, Containerization, and Orchestration) for model testing, deployment and monitoring
• Strong analytical and problem-solving skills with a focus on delivering actionable insights
• Excellent communication and collaboration skills to work effectively with interdisciplinary teams

Desirable

• In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science
• We are seeking a skilled Data Scientist to join our innovative team, working closely with Senior Data Scientists and Machine Learning Engineers to maintain, enhance, and innovate our suite of machine learning and AI-driven models and services
• This role will focus on critical areas such as churn and winback predictions, predictive lifetime value (LTV), financial forecasting, title- and catalog-level KPI forecasting (e.g., acquisition, viewership), high-value action analysis in subscriber lifecycle management, user behavior modeling with applications in fraud-detection and recommendation systems
• Develop and implement new models or enhancements to drive innovation in predictive analytics and personalized user experiences
• Analyze large-scale datasets to uncover insights, identify trends, and inform model development and optimization
• Apply statistical and machine learning techniques to solve complex business problems and improve model performance
• Work with modern data processing tools, modeling frameworks, MLOps pipelines, and cloud infrastructure to ensure efficient and scalable workflows
• Partner with cross-functional teams, including Machine Learning Engineers, AI Engineers, and Platform/Software Engineers, to integrate models into production environments
• Document methodologies, experiments, and findings to support team collaboration and knowledge sharing
• Stay current with advancements in data science, machine learning, and related technologies to bring cutting-edge approaches to our solutions
• About the Team:
• You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions
• Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights
• From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization
• Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making