Data Scientist

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).