Data Scientist, Crunchyroll
$104.3-130.4k
Plus performance bonus earning potential, paid annually
3+ days a week in office (Mid City, LA )
Streaming service for anime and manga
Job no longer available
Streaming service for anime and manga
1001+ employees
Job no longer available
$104.3-130.4k
Plus performance bonus earning potential, paid annually
3+ days a week in office (Mid City, LA )
1001+ employees
Company mission
To create experiences for anime and manga fans, and to enable them to connect through the content they love.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
In recent decades, anime - encompassing Japanese, Korean, and Chinese animation 0 has transitioned from a niche interest to a formidable industry, boasting a global market worth approximately $30B. Despite this growth, distribution has historically posed challenges, with series and films often reaching overseas audiences through disparate channels, if at all. Crunchyroll emerged to address this issue by consolidating the largest collection of anime into a single streaming service.
Sony's acquisition of Crunchyroll in 2021 for $1.75B expanded the platform's reach, integrating Sony's extensive animation library into its offerings. this move also positioned Crunchyroll for heightened competition against streaming giant Netflix, known for its substantial investments in anime production and acquisition. Currently, Crunchyroll maintains an unrivaled library of anime content, boasting over 44,000 episodes that have attracted over 0M paying subscribers.
While Crunchyroll initially offered a free, ad-supported tier to its vast community, it appears poised to phase out this option, transitioning to a subscription-based model for all new series. Despite this shift, the platform has implemented a global reduction in fees to stimulate subscription uptake. The success of this strategy remains to be seen, but past experiences with companies like Hulu suggest that it may drive subscription growth and mitigate piracy
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Mar 2010
$0.8m
EARLY VC
Feb 2008
$4.1m
SERIES A
Total funding: $4.9m
Company benefits
- 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!
Company HQ
Lucerne - Higuera, Culver City, CA
Leadership
Kun Gao
(Co-Founder)Co-founded Crunchyroll in 2006 and served as CEO/General Manager/Board Member until 2018. Previously the founder and CTO of Frappr.com as well as a Product Engineer at HOT or NOT.
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