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. 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 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
LI-Hybrid #DatascienceNJ
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 https://careers.bms.com/life-at-bms/.
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as Transforming patients' lives through science , 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 a supportive culture, promoting global participation 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.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy @type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Company: Bristol-Myers Squibb
Req Number: R1594963
Updated: 2025-09-11 01:47:04.174 UTC
Location: Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
