Senior Manager, Analytical AI - Engineering

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:  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.

#LI-Hybrid

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.

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-desig