Pfizer is looking for a senior leader of Data Science to lead data science and machine learning across all of Commercial/Biopharma, ensuring best-in-class methodologies and deliverables across the entire data journey from Descriptive to Predictive analytics. The goal is to empower data-based decisioning for go-to-market strategy, marketing optimization, and equipping sales teams with relevant information. The role aims to design, develop, and field analyses and tools that have a direct and measurable impact on customers and business outcomes, solve complicated business problems, and deliver on strategies.
Requirements
- expert level knowledge of applied regression techniques including, but not limited to: Linear, Logistic, Mixed models, Time Series, General Linear Models & Simultaneous Equations.
- experience in the use of Neural Network models for sales forecasting and GAN models.
- Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms.
- Expertise in a wide variety of techniques such as neural nets, deep neural nets, boosted trees, support vector machines.
- Conceive and coach the design of end-to-end scripted analytics solutions using SAS, SQL/TeraData as well as modern analytical systems in Spark + Hadoop/Databricks/Snowflake with Python.
- Demonstrated mastery of all aspects of the data pipeline including data storage systems (both relational and noSQL), modern ETL, aggregation/projection strategy, SDLC in data engineering, and performance optimization.
- Algorithm development in graph mining and social network analysis is a plus
Responsibilities
- leading data science and machine learning across all of Commercial/Biopharma ensuring best in class methodologies and deliverables across the entire data journey from Descriptive to Predictive analytics.
- design, develop, and field analyses and tools that have direct and measurable impact to customers and business outcomes.
- building analytics practices and machine learning tools to solve complicated business problems and deliver on our strategies.
- drive enterprise AI strategy and industrialize ML/AI solutions.
- turning data discoveries into analytical insights and products that drive business and customer outcomes.
- leading advanced analytics and applied Machine Learning solutions using various supervised and unsupervised ML procedures to help drive incremental revenue.
- develop and implement models, insights, and data products that drive each brands’ strategic priorities.
Other
- 15+ years of relevant experience in data science/machine learning and 10+ years' managerial experience.
- Bachelor’s Degree required. Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Ph. D is highly preferred
- Be a self-starter, driven, accountable and a high-energy leader.
- Background in healthcare, Pharma, or health payments analytics experience.
- Experience in B2B and/or B2C marketing is a plus.
