Description

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 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 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

Role and Responsibilities

• Roles and Responsibilities of a Junior Data Scientist Most businesses have now realized the importance of data-driven decision-making. Data Science has now become inseparable from day-to-day operations. It is employed in Product Marketing, Engineering, and Sales to make strategic decisions. This is why it becomes crucial for a Junior Data Scientist to understand his roles and responsibilities. Listed below are the roles and responsibilities of a Junior Data Scientist: Ask the right questions to understand the problem. Extract data from multiple data sources. Clean the data and remove all the noise. Integrate and Load Data to a centralized location (if needed). Perform exploratory Data Analysis on the data loaded. Choose the right Predictive or Machine Learning model for the problem. Apply those models and extract meaningful insights. Measure and improve results (if needed). Present final results to a senior and make adjustments based on the feedback. Repeat the process to solve the problem.