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Data Scientist II
Skills
Computer ScienceSQLAnalyticsConsensus BuildingData AnalyticsMultivariate TestingOptimization Algorithms
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- MS or PhD in quantitative field or computer science
- Graduation from top-tier program or high performance evidence
- Experience in statistical/quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis, or optimization algorithms
- Previous experience in a cloud environment
- 2+ years relevant experience preferred
- Python coding experience required
- SQL coding experience required
- Intermediate to advanced knowledge of statistical modeling techniques and ML algorithms
- Ability to build accurate, sustainable prediction models
- Experience building and optimizing big data pipelines, datasets, and architecture
- Experience working with streaming data preferred
- Strong analytical skills, and creativity in solving modeling problems
- Strong interpersonal, communication, and consensus building skills
- Ability to work in a deadline-oriented environment
- Ability to uphold and demonstrate the highest level of integrity
Day to day
- Develop new models using creativity and modern tools to advance prediction capabilities and tackle business problems.
- Predict sport outcomes and support the Caesars Digital business unit.
- Collaborate with domain experts and data science peers to identify and enhance model opportunities.
- Manipulate large datasets to merge data across multiple sources, and design new model variables.
- Research and apply latest machine learning technologies and conduct ad hoc analyses.