Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Merck’s Global Human Health (GHH) Division abides by a “patient first, profits later” ideology. Results-driven and ambitious, this team of individuals represents a functional balance between meeting company objectives and the needs of people around the world. The organization is comprised of sales and marketing professionals who are passionate about their role in bringing Merck's prescription medicines, vaccines, and other medical products to our customers worldwide.
The Specialist, Quantitative Sciences will be part of the Investment Analytics & Decision Sciences (IA&DS) group, providing our customers with analytically and data driven recommendations for decision making regarding the allocation of promotional resources across channels, brands and customer segments.
More specifically, the candidate will be responsible for developing state-of- the –art customer segmentation and targeting schemes, using predictive statistical models and machine learning algorithms for Merck's Chronic Care and Vaccine Business Units.
The candidate will provide guidance and help define personal and digital strategies to assess and identify customers across multi-billion dollar product portfolios.
The candidate will also collaborate with IA&DS colleagues on communicating and integrating insights into other relevant work streams.
Education Minimum Requirement: Masters Degree in Business Statistics, Management Science or Statistics
Required Experience and Skills:
Work experience using analytical tools including SAS and R
Application of statistical modeling techniques and data mining algorithms including probability theory, logistic regression, neural networks and supervised machine learning
Strong verbal and written communication skills to convey technical concepts and provide recommendations to inform business decisions
Preferred Experience and Skills:
Statistical modeling techniques such as clustering, linear regression, longitudinal data analysis, linear optimization
Data mining algorithms such as classification and decision trees, support vector machines, ensemble modeling
Experience using SQL, AWS and Teradata
Understanding of the pharmaceutical industry and experience in using relevant industry data sources, such as prescription and longitudinal patient level data
Data visualization tools such as ggplot, Tableau, Spotfire
Ability to manage multiple analytical projects simultaneously and foster collaboration with colleagues
Works well independently under the supervision of senior colleagues
Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we’re inventing for life.
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At Merck, we have approximately 700 employees with military backgrounds working in 26 US locations. in areas such as Research & Development, Information Technology, Manufacturing, Finance, Sales & Marketing, Legal, Site Services, Human Resources and Six Sigma. We value the experience and technical knowledge that these individuals bring to our organization, in addition to their dedication, discipline, strong leadership skills and training.
Merck offers opportunities in various areas of our company for individuals with military experience. Merck has many employees with military backgrounds who work at several of our U.S. locations. We value their experience and technical knowledge, as well as their dedication, discipline, strong leadership skills and training.