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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, popular Data Scientist title, broad analytics skillset, and recognizable global employer increase applicant competition.
Customer analytics and statistical modeling skills are transferable, though domain knowledge in pharma/animal health is beneficial.
Explicit 6+ years, required advanced-statistics and Python/R skills, and commercial analytics domain expertise raise screening rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of advanced analytics solutions including statistical modeling, regression analyses, churn modeling, and market basket analysis to optimize promotional spend and business activities.
Manage end-to-end project analyses: data preparation, analysis design, implementation using appropriate methods, and presentation of results.
Guide junior team members on technical and functional aspects, model building and refinement, and ensure alignment with global team based in Greenfield, Indiana.
Minimum Requirements
Bachelor's degree in quantitative or management field (Master’s preferred).
6+ years of experience in advanced analytics and commercial effectiveness.
Proficiency in statistical modeling techniques including A/B testing, regression, clustering, classification, decision trees, and forecasting.
Advanced skills in Python, R, and Excel.
Ideal Candidate Profile
Experienced in leading complex analytics projects focused on commercial effectiveness and ROI optimization in business contexts.
Capabilities to collaborate cross-functionally and communicate analytics insights effectively through storyboarding and presentations.
Continuous innovator in data science techniques with ability to mentor junior staff and integrate new expertise into team knowledge.