Data Scientist

AEG Presents

$70K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in quantitative field (Math, Stats, Analytics, Engineering, Economics, etc.)
  • 1+ years of relevant experience in data science
  • Knowledge of supervised and unsupervised learning techniques
  • Comfort with statistical modeling applications
  • Strong communication skills for technical and business interactions
  • Ability to manage multiple priorities independently
  • Proficiency in data analysis tools (e.g., SQL, R, Python)

Responsibilities

  • Meet with business stakeholders to assess analytic needs
  • Develop and execute statistical models for insights
  • Independently extract and preprocess data from diverse sources
  • Support execution and interpretation of machine learning models
  • Identify opportunities to enhance existing analytics
  • Provide ad-hoc analysis and scenario modeling support
  • Stay current with trends and technologies in data science

Benefits

  • Collaborative team environment
  • Opportunity to directly impact strategic initiatives
  • Exposure to diverse data from various business functions
  • Development opportunities to enhance technical skills
  • Flexible work arrangements available
Full Job Description
In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

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.

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.
  • 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).


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