Senior Manager, Predictive Customer Engagement

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Description: In support of Commercialization Strategy, the Sr. Manager of US Predictive Customer Engagement team develops and delivers analytical assessment, solution design and modeling capability relating to US customer experience and engagement across the portfolio, to drive competitive advantage and analytically informed decision making

Key Responsibilities and Major Duties
 

• Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions

• Hands-on use of cutting-edge analytics and machine learning to understand and predict next best actions to improve US based customer experience and engagement using a variety of data sources to drive effectiveness of commercial tactics

• Build and own predictive machine learning based solutions for US Commercialization to enable better understanding, experience and engagement of our customers

• Employs disruptive thinking to improve value to the business and our US based customers through deepened market understanding, streamlined business engagement and practically applied, data driven analytics

• Use a sound mix of market knowledge, brand strategy and machine learning capabilities to build and enhance the quality of our predictive models

• Be able to translate the complexity of the machine learning models in business language to make the insights understood better and drive the use of these models further 

• Partners with broader Commercialization Data Science & AI Predictive Solutions organization to provide guidance on how advanced analytics and machine learning can be leveraged to solve ad-hoc non-commercialization needs

• Partners with broader Commercialization Data Science & AI Predictive Solutions organization to monitor the external, Commercialization Analytics landscape, identifying and applying new capabilities in support of continuous BIA evolution and business performance

Qualifications/Degree/Certification/Licensure

• BA/BS required (quantitative area of study preferred)

• Minimum of 3 years of experience

• MBA/other graduate degree preferred and contribute to required years of experience

• Proficiency in Python/R and SQL

• Hands on experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, Pytorch, etc

• Experience with Git

• Experience with cloud based environments (AWS, Azure, etc)

• Experience with MLOps

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If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $152,150 - $184,370

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. 

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit <