Requirements

• 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
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• 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
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• Cross-Functional Collaborations: Skilled at partnering with engineering, product, and legal teams to align analytics with business objectives and integrate findings into product features
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• Communication Skills: Adept at presenting complex behavioral insights in clear, actionable formats to non-technical audiences through reports and visualizations
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• 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
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• We are considering applicants for the location(s) of Los Angeles, CA or San Francisco
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• 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
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• 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+
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• You'll conduct exploratory data analysis on user session logs to establish baselines for normal and anomalous behaviors
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• Develop predictive models using statistical and machine learning techniques to forecast and segment user sharing patterns
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• Design and conduct experiments to validate the model accuracy and operations effectiveness
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• Collaborate with cross-functional teams to define data requirements and create frameworks for ongoing behavioral monitoring
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• Build visualizations and reports to communicate insights on user engagement and potential sharing risks to stakeholders
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• Ensure data privacy compliance while optimizing data pipelines for efficient operations
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• 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

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