Data Scientist
Crunchyroll San Francisco
Job Description
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 looking for a passionate Data Scientist to join our team, working with Senior Data Scientists and Machine Learning Engineers to enhance our suite of machine learning and AI-driven models and services. You 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, and recommendation systems. You will bring a foundation in statistical and machine learning fundamentals, coupled with expertise in modern data science tech stacks, to lead impactful solutions for both consumer-facing and partner-oriented programs.
Key Responsibilities
- 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 modern approaches to our solutions.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 2+ Years of experience with statistical and machine learning fundamentals and their practical applications.
- 2+ Years of experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems.
- Hands on experience with 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.
Nice to Have
- Experience working in streaming or media-related industries.
- Knowledge of advanced AI techniques and tools.
- Experience building stakeholder-facing AI solutions such as chatbots.
Benefits & 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.
Working at Crunchyroll San Francisco
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.
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About Crunchyroll San Francisco
Website
crunchyroll.com
Company Size
1001-5000 employees
Location
Los Angeles, CA
Industry
Television Broadcasting Stations
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