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- 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 -> 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 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, , 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
Data Scientist/Date Engineer - Las Vegas, United States - Caesars Entertainment
Description
]Data Scientist
JOB SUMMARY:
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 sport outcomes and support the Caesars Digital business unit.
YOUR FOCUS
REQUIRED QUALIFICATIONS
Data Engineer
JOB SUMMARY:
The Director – Data Engineer position will develop new APIs and web-based products to consume and execute machine learning models. Primary focus will be to integrate data science models with Caesars Digital Product team and develop internal web-based consumption tool.
KEY JOB FUNCTIONS:
EDUCATION and/or EXPERIENCE: