Hybrid Data Scientist

Posted last week

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About the role

  • 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.

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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