THE OPPORTUNITY

Delaware North is hiring a Business Insights and Analytics Data Scientist to join our team. As a Marketing Analytics Data Scientist within our Gaming unit, you will be responsible for using your knowledge of business and data to discover problems or opportunities where data can be leveraged to address the need. If you are passionate about transforming data into actionable insights and driving business success, apply today!

QUALIFICATIONS

• Bachelor’s degree in computer science, engineering, mathematics or a related field
• Querying large data repositories and databases using SQL
• Programming in Python for data science purposes
• Databricks experience preferred
• Experience developing, training and deploying data science models; experience with customer data models such as lifetime value and churn preferred
• Experience working in data scientist and/or data analyst roles; with hospitality, casino, hotel, food and beverage, or retail experience preferred

WHO WE ARE

At Delaware North, you’ll love where you work, who you work with, and how your day unfolds. Whether it’s in sporting venues, casinos, airports, national parks, iconic hotels, or premier restaurants, there’s no telling where your career can ultimately take you. We empower you to do great work in a company with 100 years of success, stability and growth. If you have drive and enjoy the thrill of making things happen - share our vision and grow with us.
Delaware North Companies, Incorporated and its subsidiaries consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, or any other legally protected status. Delaware North is an equal opportunity employer

• Ability to query, analyze and summarize data using SQL (SMSS, Databricks) to develop a complete knowledge of the data in service of developing data science models (Python, Databricks) for customer data (casino loyalty program) including for example customer lifetime value, churn and sensitivity to communications and offers.
• Take responsibility and collaborate with the marketing analytics team on all aspects of data science model creation, refinement and sustainment, including identifying and resolving bad data, selecting the best model, identifying the best variables, training the model, ensuring that the results are accurate and usable, presenting the findings to our internal partners, retraining, enhancing and sustaining the model over time.
  

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