Senior Manager, Analytical AI - Engineering - Princeton, NJ

Senior Manager, Analytical AI - Engineering - Princeton, NJ

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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.

Description: Senior Manager of Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products.

Key Responsibilities and Major Duties:

• Member of a hands-on team of data engineers and machine learning engineers.
• Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions.
• Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.
• Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively.
• Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps.
• Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit, and R Shiny.
• Apply NLP techniques in support of solving business problems.

Qualifications/Degree/Certification/Licensure:

BA/BS required (quantitative area of study preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience and relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau, and MS Office Suite. Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

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.