Chiyoda City Bristol Myers Squibb Full time

Job Title: Associate Director - International Predictive Customer Engagement at Data Science, AI and Business Intelligence Solutions and Enabling Functions

Company: BMS


Description

In support of Commercialization Strategy, the Associate Director of International Predictive Customer Engagement team develops and delivers analytical assessment, solution design and modeling capability relating to International market 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 International market 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 International market Commercialization to enable better understanding, experience and engagement of our customers
  • Employs disruptive thinking to improve value to the business and our International market 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 into 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
  • Lead large data science projects independently and provide strategic view when creating solutions to meet the needs of our stakeholders
  • Engagements with senior leadership of our cross-functional stakeholders to deliver on projects

Qualifications/Degree/Certification/Licensure

  • BA/BS required (quantitative area of study preferred)
  • Proficiency in Python/R and SQL
  • Minimum of 5 years of experience
  • MBA/other graduate degree preferred and contribute to required years of experience
  • 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
  • Experience with Dagster and Kedro pipeline is a huge plus
  • Proven experience in leading large, complex projects with multi-function team members
  • Excellent communication and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders
  • Business level in English and Japanese language

Hiring Director: Head of International Predictive Customer Engagement

Primary Location: Tokyo, Japan

Job Function: Associate Director - International Predictive Customer Engagement

Organization: Data Science, AI and Business Intelligence Solutions and Enabling Functions

With a single vision as inspiring as "Transforming patients' lives through scienceTM", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.



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