Qualifications • Minimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. • Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. • Extensive experience using data science models to solve problems in a business environment setting. • Experience with influencing commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. Relevant Experience • Extensive expertise and experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. • Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. • Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable. • Extensive experience in management of secondary data with application to real-world data. • Exceptional ability to connect, integrate and synthesize analysis and data into a meaningful so what' to drive concrete strategic recommendations for brand tactics. • Skilled of describing relevant caveats in data or in a model and how they relate to business question or recommendation. • Ability to be flexible, prioritize multiple demands and deal with ambiguity.