Senior Manager, Predictive Customer Engagement

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 expected to ideate, design, develop, model, and deploy advanced solutions. Utilize cutting-edge analytics and machine learning to understand and predict the next best actions to improve US customer experience and engagement using various data sources. Build and own predictive machine learning solutions for US Commercialization to enhance customer understanding and engagement. Apply disruptive thinking to improve value through market understanding, streamlined engagement, and data-driven analytics. Combine market knowledge, brand strategy, and machine learning to improve predictive models quality. Translate complex machine learning insights into business language to facilitate understanding and usage. Collaborate with the broader Data Science & AI Predictive Solutions team to leverage analytics for non-commercial needs. Monitor external analytics landscape to identify and adopt new capabilities for continuous evolution and performance improvement. Qualifications/Degree/Certification/Licensure BA/BS in a quantitative field required; MBA or graduate degree preferred. Minimum of 3 years of experience; relevant experience may contribute to required years. Proficiency in Python/R and SQL. Experience with designing and deploying machine learning models (Scikit-Learn, TensorFlow, Pytorch, etc.). Experience with Git, cloud environments (AWS, Azure), and MLOps. The starting compensation ranges from $152,150 to $184,400 plus incentives. Final compensation depends on experience. Eligibility for benefits varies by role and location. For more details, visit

careers.bms.com/life-at-bms/ . #LI-Hybrid If your ideal role isn’t a perfect match on paper, we encourage you to apply anyway. You might be one step away from transforming your career and life. Uniquely Interesting Work, Life-changing Careers Every BMS employee contributes to our mission of “Transforming patients’ lives through science,” within a culture that values passion, innovation, urgency, accountability, inclusion, and integrity. On-site Protocol BMS has different occupancy models (site-essential, hybrid, field-based, remote). Specific requirements depend on the role’s responsibilities. For accommodations, contact

adastaffingsupport@bms.com . For more info, visit

careers.bms.com/ . We support applicants with disabilities and encourage reasonable accommodations. We also prioritize Covid-19 vaccination for employee safety. BMS considers qualified applicants with criminal records, in accordance with applicable laws. For California residents, see

https://careers.bms.com/california-residents/ . All data in applications are handled per privacy policies.

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