Senior Data Scientist

About the role

In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco.

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. 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.

Core Areas of Responsibility

• 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 You

• 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.

Pluses

• Experience with churn prediction, customer lifetime value modeling, financial forecasting with time series or deep learning models, or recommendation systems in a consumer-facing industry.
• Knowledge of advanced statistical methods, such as Bayesian modeling or causal inference.
• Understanding of subscriber lifecycle management and high-value action analysis.
• Comfortable with imperfect and evolving data, working with “raw” data such as events, and seeking solutions to improve data qualities.

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.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid