What are the responsibilities and job description for the Data Scientist position at Cleveland Cavaliers?
Cavaliers Holdings LLC is committed to delivering epic experiences for our fans, team members, community, and the world. Fueled by a diverse, equitable and inclusive culture, we strive to recruit individuals that will be enthusiastic and purposeful in carrying out our vision as Transformative Leaders in Sports and Entertainment. If you are ready to work in the fast-paced and high-energy setting of the Cavs, Monsters, Charge, Legion and Rocket Arena— then we want to talk to YOU!
JOB SUMMARY:
The Business Intelligence team is seeking a highly motivated 'Data Scientist' to assist with collecting, analyzing, and presenting data insights. The role will use statistical methods and advanced analytics to inform key strategic initiatives. Specific initiatives will be derived from cross-functional business needs. You’ll dive deep into the numbers behind ticket sales, corporate partnerships and even the food and merchandise fans love to get during the big game. Your insights will directly impact key decisions that shape the future of our organization.
Please Note:
** Candidates for this position must be legally authorized to work in the United States. We are unable to sponsor, OR take over sponsorship of employment visas.
** This is an ONSITE position requiring working in person at Rocket Arena a minimum of 4 days per week. Local candidates preferred.
ESSENTIAL DUTIES & RESPONSIBILITIES:
- Meet with business stakeholders to determine analytic needs.
- Develop and execute statistical modeling techniques to generate insights.
- Independently extract, join and preprocess necessary data from disparate data streams.
- Support the execution and interpretation of machine learning models.
- Identify areas of opportunity to improve existing analytic support.
- Provide decision support through ad-hoc analysis and scenario modeling.
- Maintain an understanding of the latest trends and technologies related to data science.
REQUIRED QUALIFICATIONS:
- Bachelor’s Degree in a quantitative field (Math, Stats, Analytics, Engineering, Economics, etc.).
- 1 years of relevant professional experience in data science, strategy, or consulting.
- Foundational knowledge of supervised/unsupervised learning (regression, classification, clustering) and evaluation metrics.
- Comfort with applied statistical modeling.
- Ability to effectively communicate with both technical and business minded professionals.
- Ability to manage multiple priorities and work independently.
- Proficient in data analysis tools and programming languages (e.g. SQL, R, Python).
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
