Login to bookmark this Job
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
Description: In support of Commercialization Strategy, the Sr. Manager / Associate Director of Commercialization Data Science & AI Predictive Solutions organization partners with Commercialization leadership and BIA Business Partners to pioneer new machine learning solutions, improved ways of applying data science to drive value, sophisticated solution designs and cutting-edge modeling capabilities relating to Commercialization portfolio in US and Major Markets, 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 pioneer new solutions or improved ways of doing existing solutions to drive improved value capture
Build and own predictive machine learning based solutions for Commercialization to enable better understanding, experience and engagement of our patients and HCPs
Employs disruptive thinking to improve value to the business and our global customers through deepened market understanding, streamlined business engagement and practically applied, data driven analytics
Use a sound mix of market knowledge, brand strategy and knowledge of advanced data science capabilities to identify, build and enhance the analytical solutions for value capture
Be able to work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of solutions
Be able to translate the complexity of the 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
Be able to apply NLP techniques and understand how they can be leveraged to solve business problems
Qualifications/Degree/Certification/Licensure
BA/BS required (quantitative area of study preferred)
MBA/other graduate degree preferred
A minimum of 3 years of hands on data science experience for Sr. Manager
A minimum of 5 years of hands on data science experience for Associate Director
Hands on experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, Pytorch, etc is preferred
Experience with Git is preferred
Experience with cloud based environments (AWS, Azure, etc)
Experience with MLOps
Proficiency in Python/R, SQL, Tableau and MS Office Suite
Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders
#LI-Hybrid