
Senior Forecasting
7 days ago
As a seasoned forecasting and analytics professional, you will play a key role in supporting major pharmaceutical companies by delivering actionable insights and driving business growth through data-driven decision making.
You will leverage your expertise in time-series forecasting, clustering, classification, and NLP to translate business problems into executable AI/ML workflows. Your ability to combine domain knowledge with applied AI and analytics-driven data science techniques will be essential in informing forecasting models and recommendations.
With a strong understanding of pharmaceutical datasets and hands-on experience with forecasting models, data analysis, and reporting tools, you will integrate primary research, secondary data, and third-party sources to inform forecasting models and drive business outcomes.
Requirements:- Bachelor's degree in Life Sciences, Engineering, Computer Science, or related field; Master's degree in Biotech, Data Science, Business Analytics, or MBA preferred.
- Minimum 4-5 years of experience in commercial pharma analytics or consulting, with hands-on AI/ML application preferred.
- Strong understanding of pharmaceutical datasets (IQVIA, DRG, RWE, EMR/EHR) and how to integrate them into AI solutions.
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