Pharma Statistical Forecast Model Developer
4 weeks ago
Pharma Statistical Forecast Model Developer - (5 - 8 years ) Description:
- We are looking for an experienced Statistical Forecast Model Developer - Specialist to join our team.
- The ideal candidate will have 5-7 years of experience in developing statistical forecasting models for the pharmaceutical industry.
- You will work with Python, R, SQL, and advanced machine learning techniques to enhance forecasting accuracy and drive business decisions.
Key Responsibilities:
- Develop and optimize statistical forecasting models tailored for pharma analytics Utilize Python & R with statistical libraries (Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret)
- Perform data manipulation using SQL & Excel
- Leverage data visualization tools (Matplotlib, Seaborn, ggplot2) to present insights
- Apply machine learning techniques for demand forecasting and model evaluation (cross- validation, ROC curves)
- Must have Pharma Statistical model developing experience.
- Work closely with stakeholders to align forecasting models with business objectives
Required Skills & Qualifications:
- 5 to 7 years of experience in statistical modeling & forecasting for pharma industry
- Proficiency in Python, R, and relevant statistical & ML libraries
- Strong knowledge of SQL & Excel for data extraction and transformation
- Experience in data visualization (Matplotlib, Seaborn, ggplot2)
- Deep understanding of machine learning and model evaluation techniques
- Ability to convert complex data into actionable business insights
Why Join Us?
- Opportunity to work on cutting-edge statistical models in the pharma industry
- Be a part of a high-impact analytics team
- Competitive salary, growth opportunities, and a data-driven work culture
Apply Now If you are passionate about statistical modeling and want to make an impact in the pharmaceutical industry, wed love to hear from you
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