Senior Data Scientist, Crunchyroll
Fraud Detection
$168-210k
+ Performance bonus. Salary applicable to LA applicants
Streaming service for anime and manga
Open for applications
Streaming service for anime and manga
1001+ employees
Open for applications
$168-210k
+ Performance bonus. Salary applicable to LA applicants
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
- Experience: You have 5+ years in data science roles focused on behavioral analytics, preferably in tech or streaming industries, with proven success in user behavior modeling, anomaly and fraud detection, and related applications
- Technical Skills: Proficient in Python for data analysis and modeling, SQL for database querying, and tools like Tableau or matplotlib for visualization, with experience in machine learning libraries such as xgboost, scikit-learn, and pytorch for modeling
- Cross-Functional Collaborations: Skilled at partnering with engineering, product, and legal teams to align analytics with business objectives and integrate findings into product features
- Communication Skills: Adept at presenting complex behavioral insights in clear, actionable formats to non-technical audiences through reports and visualizations
- Education Background: Hold a master's degree in data science, statistics, computer science, or a related field, with coursework in behavioral economics or psychology being advantageous
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 seeking a Data Scientist with skills and experience in using User Behavior Analytics and Modeling to kick start our effort to detect and deter account sharing by leveraging platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors
- This position focuses on uncovering insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting revenue growth and subscriber retention strategies inspired by industry leaders like Netflix and Disney+
- You'll conduct exploratory data analysis on user session logs to establish baselines for normal and anomalous behaviors
- Develop predictive models using statistical and machine learning techniques to forecast and segment user sharing patterns
- Design and conduct experiments to validate the model accuracy and operations effectiveness
- Collaborate with cross-functional teams to define data requirements and create frameworks for ongoing behavioral monitoring
- Build visualizations and reports to communicate insights on user engagement and potential sharing risks to stakeholders
- Ensure data privacy compliance while optimizing data pipelines for efficient operations
- 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 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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