Sr Specialist , Data Science
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Job Description
Senior Specialist – US Oncology BIA Targeting and Segmentation
The Senior Specialist will be part of the Oncology Business Insights and Analytics (BIA) team in the US Human Health Market. The selected candidate will be accountable for creating targeting and segmentation models for the Oncology Business Units that will be used for the allocation of promotional resources and tactics across channels, brands, and customer segments. More specifically, he/she will work with HH market leaders and provide guidance to help define tactics and strategies to implement customer targeting and segmentation schemes using predictive and machine learning models for US Oncology Business Units.
Position Qualifications:
Education:
Bachelor's degree in Statistics, Mathematics, Operation Research, Computer Science, Engineering, Data Science or Quantitative Decision Science.
Knowledge and Skills:
Strong communication and management skills are critical to develop, propose and convey technical concepts to business customers and HH executives.
Demonstrated skills in developing concise and decision-driven presentations that will inform decisions made by Senior Directors.
The candidate will have demonstrated client and project management knowledge, having to manage multiple analytical projects simultaneously and foster partnership with colleagues.
Programming skill in Python/R/SAS and working knowledge of SQL and other analytical tools also needed.
The candidate will have 5+ years in a commercial analytics practice in developing and applying analytic solutions to solve similar business scenarios in the Health Care or Pharmaceutical industry.
Demonstrated expertise of Health Care and Pharmaceutical industry data sources such as IQVIA Xponent, DDD, HCOS, and patient claims data are necessary.
Understand the sales and marketing environment and decision points to optimize marketing investments for a pharmaceutical Oncology setting.
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Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
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U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model doe
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