Data Scientist developing machine learning solutions and analytics capabilities for casino clients. Collaborating with data engineers and product teams to optimize operations.
Responsibilities
Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)
Create anomaly detection systems for fraud and compliance monitoring
Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines
Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
Strong Python programming skills and proficiency in SQL for data extraction and analysis
Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.
Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)
Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams
Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks.
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