As a Data Scientist II, you'll develop new models using creativity and modern technical tools to advance prediction capabilities and tackle Caesars’ hardest business problems. Primary focus will be to predict sports outcomes and support the Caesars Digital business unit. This role requires 2 years of analytics experience.
YOUR FOCUS
Source interesting data (query 1st party data, purchase licensed data and/or scrape public sources)
Engineer features through creative variable transformation techniques
Explore and apply various machine learning techniques (i.e. XGBoost library)
Standardize model product development with detailed documentation for operational execution
Collaborate with domain experts to identify model enhancement opportunities and stress test models
Collaborate with data science peers to identify model enhancement opportunities
Manipulate large datasets to merge data across multiple source systems, ensure consistency and design for new model variables
Research latest machine learning technologies and keep up with industry best practices in Data Science
Conduct ad hoc analyses
REQUIRED QUALIFICATIONS
MS or PhD in quantitative field or computer science
Graduation from a top-tier program or other evidence of high performance/potential preferred
Demonstrated experience in statistical and/or quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis and/or optimization algorithms
Previous experience working in a cloud environment
2+ years relevant experience preferred
Python coding experience required
SQL coding experience required
Intermediate -> Advanced knowledge of statistical modeling techniques and machine learning algorithms
Ability to build accurate, sustainable prediction models
Experience building and optimizing ‘big data’ data pipelines, datasets, and architecture
Experience working with streaming data preferred
Ability to quickly understand business problems and how they may be solved
Strong analytics skill, aptitude for working with data, and creativity at finding new solutions to modeling problems
Must possess very strong interpersonal, communication and consensus building skills; willing to work on developing and managing key relationships across the organization.
Must be able to work in a deadline-oriented environment, ensuring decisions and management communication is occurring in a timely fashion across all geographical areas of operations
Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business