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CD&a – Senior Decision Science Manager

CD&a – Senior Decision Science Manager

CompanyAmgen
LocationHighland Park, IL, USA
Salary$165606 – $199987
TypeFull-Time
DegreesBachelor’s, Master’s, PhD, Associate’s
Experience LevelSenior, Expert or higher

Requirements

  • Doctorate degree and 2 years of data science and/or analytics experience
  • Master’s degree and 4 years of data science and/or analytics experience
  • Bachelor’s degree and 6 years of data science and/or analytics experience
  • Associate’s degree and 10 years of data science and/or analytics experience
  • High school diploma / GED and 12 years of data science and/or analytics experience

Responsibilities

  • Supporting the development of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization
  • Identifying business needs and proposing potential analytics approaches for solutions
  • Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients
  • Creating prototypes and demonstrations to access and apply data assets
  • Leading measurement and tracking of various omnichannel CX enablement initiatives, and cross-channel campaigns
  • Communicating analysis ideas, progress and results to leadership and business partners

Preferred Qualifications

  • Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain
  • Strong logical, problem-solving, and decision-making skills
  • Excellent organization/planning skills and talent for leading many large and sophisticated datasets
  • Ability to communicate analysis in a clear, detailed, and practical manner
  • Passion for learning and staying on top of current developments in sophisticated analytics
  • Biotech / Pharma experience
  • Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or working with large datasets