Available Position (Company name withheld)
$96,928–$96,928 year
On-siteChicago, Illinois, United States
Job Summary
Build short-term revenue forecasts for a major oncology drug manufacturer using LRP, epidemiology, demand studies, and competitive insights. Develop Marketing Mix Models for the US and Germany alongside a dynamic budget optimizer to guide investment decisions. Analyze multisource pharma data including sales, claims, and physician-level records to deliver insights supporting business planning. Collaborate with cross-functional client teams to align assumptions and integrate business context into models. Requires a Bachelor's degree in Cognitive Science or related field plus one year of experience with Python, machine learning, and data visualization. Includes approximately 30% travel to unanticipated client locations throughout the U.S.
Required Qualifications
- Bachelor's degree (or foreign equivalent) in Cognitive Science (Machine Learning & Neural Computation), OR a related field
- one (1) year of experience in the job offered or a related position
- demonstrable knowledge of: Python Programming
- demonstrable knowledge of: Data Visualization
- demonstrable knowledge of: Exploratory Data Analysis (EDA)
- demonstrable knowledge of: Machine Learning & Deep Learning
- demonstrable knowledge of: Large Dataset Handling
- demonstrable knowledge of: Scientific Writing & Communication
- demonstrable knowledge of: Research
- demonstrable knowledge of: Probability Theory
- demonstrable knowledge of: Linear Algebra
- demonstrable knowledge of: Anaconda
- demonstrable knowledge of: Git
- Travel to unanticipated client locations throughout the U.S., approximately 30% as required
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