Smith Hanley Associates
Senior Manager, Decision Sciences-Omnichannel Analytics
Smith Hanley Associates, Chicago, Illinois, United States, 60290
Senior Manager, Data Science/Omni Channel Analytics - PHARMA
Location: Greater Chicago (relocation provided)Salary: $160-175k + bonus + LTI (some wiggle room for a SUPERSTAR)Consultant: Eda Zullo,
ezullo@smithhanley.comMy client, a PREMIER GLOBAL BioPharma Company, is seeking a Senior Manager, Data Science/Omni Channel Analytics - PHARMA Professional!Responsibilities:Lead Data Science Omnichannel analytic engagements supporting specific PHARMA brandsWork with stakeholders to build AI/ML products to solve business problemsMeasure the impact of cross-channel campaignsBuild high performance algorithms, prototypes, predictive models and proof of conceptsMentor high-performing data scientists within the teamRequirements:MA degree (desired) and 6+ years of quantitative methods supporting multivariate statistics, predictive modeling, etc., within the PHARMA/BIOTECH spaceMust be able to build and deploy ML models to optimize customer experience (CX) and omnichannel engagementsExpertise in setting up A/B testing, cohort studies, and matched case-control studiesStrong knowledge of pharmaceutical analytic methodologies is desiredExcellent oral, written, and presentation skillsProgramming experience with Python, R, and experience with ML libraries working in large datasets4+ years of experience with AWS RedShift, Snowflake, Spark, etc.Understanding of tagging, Google Analytics, CRM, and the Digital Marketing EcosystemPlease send resumes to
ezullo@smithhanley.com
#J-18808-Ljbffr
Location: Greater Chicago (relocation provided)Salary: $160-175k + bonus + LTI (some wiggle room for a SUPERSTAR)Consultant: Eda Zullo,
ezullo@smithhanley.comMy client, a PREMIER GLOBAL BioPharma Company, is seeking a Senior Manager, Data Science/Omni Channel Analytics - PHARMA Professional!Responsibilities:Lead Data Science Omnichannel analytic engagements supporting specific PHARMA brandsWork with stakeholders to build AI/ML products to solve business problemsMeasure the impact of cross-channel campaignsBuild high performance algorithms, prototypes, predictive models and proof of conceptsMentor high-performing data scientists within the teamRequirements:MA degree (desired) and 6+ years of quantitative methods supporting multivariate statistics, predictive modeling, etc., within the PHARMA/BIOTECH spaceMust be able to build and deploy ML models to optimize customer experience (CX) and omnichannel engagementsExpertise in setting up A/B testing, cohort studies, and matched case-control studiesStrong knowledge of pharmaceutical analytic methodologies is desiredExcellent oral, written, and presentation skillsProgramming experience with Python, R, and experience with ML libraries working in large datasets4+ years of experience with AWS RedShift, Snowflake, Spark, etc.Understanding of tagging, Google Analytics, CRM, and the Digital Marketing EcosystemPlease send resumes to
ezullo@smithhanley.com
#J-18808-Ljbffr