Data Science Analyst

Anaheim Ducks Hockey Club

Data Science Analyst | Anaheim Ducks Hockey Club

Data Science Analyst

Anaheim Ducks Hockey Club

Apply by 9/23/2023

Posted 1 month ago



Anaheim, CA, USA

Job Type

 Job Description

We seek candidates with strong advanced analytics experience to lead the execution of data science and machine learning projects. The Data Scientist works with designers and stakeholders to define business goals and designs our approach to advanced analytics. This role owns data science solutions in production and coordinates communication with technical and business stakeholders. The Data Scientist develops materials for new propositions and presentations.

  • Conduct statistical modeling and experiment design, and tests and validates predictive models
  • Build web prototypes and performs data visualization
  • Develop full-stack analyses from query building to data visualization and presentation
  • Conduct scalable data research on and off the cloud
  • Automate existing processes to empower business units to conduct analyses
  • Develop customized algorithms to solve analytical problems with incomplete data sets and implements automated processes for efficiently producing scale models
  • Collaborate with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues
  • Implement new or enhanced software designed to access and handle data more efficiently
  • Train the data management team on new or updated procedures
  • Write and implement quality procedures
  • Other duties as assigned

Qualifications RequiredQualifications Required

  • 5+ years of data science experience or data analyst experience
  • 2+ years of Sports Industry experience
  • Experience using SQL, Power BI, and Tableau
  • Track record of working with engineers and business stakeholders
  • Strategic and analytical skills; able to define and perform each element of an advanced analytics project to meet stakeholder needs
  • Experience leading others to build their technical skills and skills in data science
  • Strong technical expertise in data science, data analysis, statistical modelling, and/or machine learning
  • Fluency with Python machine learning and data science packages (Scikit-learn, Apache Spark, PySpark, DASK, Tensorflow, etc.) and experience in releasing and owning your models in production
  • Academic background in a relevant quantitative field, e.g., statistics, engineering, computer science

How To Apply

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