Minimum of bachelors 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 largescale 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 realworld 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.
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