Data Scientist/Date Engineer

• 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

• 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 -

• 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 analytical 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

• Efficiently collect, process and access data necessary for Data Science team
• Build infrastructure and “pipelines” for handling data, using generalization and abstraction layers to improve efficiency and sustainability of data architecture
• Design redundancies, automated monitoring and robust architecture to minimize data downtime
• Working with distributed clusters of variety of servers
• Collaborate with data scientists to productionalize machine learning models
• Collaborate with digital product teams to align with product road maps and ensure API feeds are always working
• Develop web-based tools to serve data science insights to internal stakeholders

• MS or PhD in quantitative field, preferred computer science
• Graduation from a top-tier program or other evidence of high performance/potential preferred
• Demonstrated experience in developing data solutions
• Previous experience working in a cloud environment
• 2+ years relevant experience preferred
• Real time data (ie Spark, Kafka) experience required
• Web development, client and server side scripting (ie HTML, Javascript, PHP, Python Flask) experience required
• Javascript libraries JQuery, Vue.js, chart.js preferred
• Relational Database (ie SQL) experience required
• 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

Caesars Entertainment