About the role
Requirements:
- Bachelor's or master's degree in data science, statistics, computer science, mathematics, engineering, or a related quantitative discipline.
- 2-7 years of experience in data science with a focus on pharma or life sciences commercial analytics.
- Strong understanding of pharmaceutical commercial processes, including sales analytics, marketing analytics, customer analytics, and market performance measurement.
- Hands-on experience with machine learning algorithms, statistical analysis, and predictive modeling.
- Proficiency in Python or R for data analysis and model development.
- Strong SQL skills for data extraction and manipulation.
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
- Understanding of Agile methodologies and version control tools such as Git is an advantage.
- Technical Skills: Python (Pandas, NumPy, Scikit-learn), SQL, Machine Learning, Statistical Modeling, Data Visualization, Spark or PySpark, Databricks (preferred).