Data Scientist
Cavaliers Holdings, Llc
Cleveland, United States of America
11 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Cleveland, United States of America
Tech stack
Data analysis
Data Presentation
Decision Support Systems
R
Python
Machine Learning
SQL Databases
Data Streaming
Unsupervised Learning
Programming Languages
Job description
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., * 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.
Requirements
- Bachelor's Degree in a quantitative field (Math, Stats, Analytics, Engineering, Economics, etc.).
- 1+ years of relevant professional experience in data science.
- 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).