- Страна
- США
- Зарплата
- 168 000 $ – 210 000 $
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Senior Data Scientist, Fraud Detection
Отличная позиция в известной компании с сильным брендом и четко определенными задачами. Высокая зарплата, отличный соцпакет и возможность работать над актуальной для индустрии стриминга проблемой.
Сложность вакансии
Роль требует глубоких знаний в области поведенческой аналитики и обнаружения аномалий, а также более 5 лет опыта. Высокий уровень ответственности за разработку стратегий борьбы с шерингом аккаунтов, аналогичных тем, что внедряют Netflix и Disney+.
Анализ зарплаты
Предложенный диапазон $168k–$210k полностью соответствует рыночным стандартам для позиции Senior Data Scientist в Лос-Анджелесе, где средние зарплаты в тех-секторе для опытных специалистов колеблются в пределах $175k–$205k. Верхняя граница предложения даже несколько выше медианы, что делает вакансию финансово привлекательной.
Сопроводительное письмо
I am excited to apply for the Senior Data Scientist position at Crunchyroll, specifically focusing on fraud detection and account sharing. With over five years of experience in behavioral analytics and a strong background in developing predictive models using Python and SQL, I am confident in my ability to contribute to your mission of protecting revenue and enhancing subscriber retention. My previous work in anomaly detection aligns perfectly with your goal of identifying complex sharing patterns through user session logs and device usage data.
Throughout my career, I have successfully collaborated with cross-functional teams to translate data insights into actionable product features. I am particularly impressed by Crunchyroll's commitment to its community and the innovative use of ML/AI to improve the streaming experience. I look forward to the possibility of bringing my expertise in XGBoost, Scikit-learn, and behavioral modeling to your talented team in Los Angeles.
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Описание вакансии
About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
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 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+.
Core Areas of Responsibility
- 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.
About You
We get excited about candidates, like you, because you have the following:
- 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.
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
The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll’s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.
Pay Transparency - Los Angeles, CA
$168,000—$210,000 USD
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
- Courage. We believe that when we overcome fear, we enable our best selves.
- Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
- Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs:https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
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Навыки
- Tableau
- Python
- Matplotlib
- PyTorch
- Machine Learning
- SQL
- Scikit-learn
- Fraud Detection
- XGBoost
- Data Science
- Anomaly Detection
- Behavioral Analytics
Возможные вопросы на собеседовании
Вакансия сфокусирована на борьбе с передачей паролей. Важно понимать, как кандидат отличает легитимное использование от нарушений.
Как бы вы спроектировали систему признаков (feature engineering) для отделения обычного семейного использования аккаунта от злонамеренного шеринга между разными домохозяйствами?
Работа предполагает использование больших объемов логов сессий. Проверяется навык работы с данными в масштабе.
Опишите ваш опыт работы с крупными наборами данных пользовательских сессий. Какие инструменты вы использовали для обработки и очистки данных перед моделированием?
В описании упомянуты конкретные библиотеки. Проверяется техническая глубина.
В каких случаях при обнаружении аномалий вы бы предпочли XGBoost классическим статистическим методам или нейронным сетям на PyTorch?
Бизнесу важно не только найти нарушителей, но и не отпугнуть лояльных пользователей.
Как вы будете оценивать баланс между точностью модели (precision) и полнотой (recall), чтобы минимизировать ложноположительные срабатывания, которые могут расстроить честных подписчиков?
Роль подразумевает взаимодействие с юридическим отделом и продуктологами.
Расскажите о случае, когда вам нужно было объяснить сложную техническую модель обнаружения фрода нетехническим стейкхолдерам. Как вы убедили их в надежности ваших выводов?
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- Страна
- США
- Зарплата
- 168 000 $ – 210 000 $