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Data Scientist II - Corporate (Las Vegas)

Company Name: 
Caesars
Location:
Las Vegas, Nevada
Type of Company:
Non-Sports Company
Position Type:
Full-Time
Contact Name: 
Chris Campbell
Contact Email:
ccampbell@caesars.com
Date Posted:
March 25, 2023
Anticipated Start Date:
March 3, 2023

Position Description

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

Desired Qualifications

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

How to Apply

Please Apply Here: https://edmn.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/20017/share/300000305460499?utm_medium=jobshare