Associate Director, Analytical Engineering

Princeton, NJ$194k–$227kPosted Jul 23, 2026
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. Employer: Bristol-Myers Squibb Company Job Title: Associate Director, Analytical Engineering Location: 3401 Princeton Pike , Lawrenceville, NJ 08648 Wage Range: $194,145.00 - $226,670.00 Bristol-Myers Squibb Company is hiring a(n) Associate Director, Analytical Engineering (in Princeton, NJ). Duties: Contribute to the development, deployment, and maintenance of data science and machine learning pipelines, solutions, and products in support of commercialization strategies. Serve as a member of a hands-on team of data engineers and machine learning engineers. Collaborate cross-functionally with analytics and business stakeholders to pilot and deploy advanced data science solutions. Design, implement, and maintain reliable, scalable, and maintainable pipelines for data science products and machine learning applications. Establish best practices for machine learning engineering, data engineering, and machine learning operations. Develop and optimize tools and frameworks that improve the efficiency and effectiveness of data scientists. Partner with leadership to monitor emerging trends in data science and engineering technologies to enhance organizational capabilities. Translate models, pipelines, and technical solutions into clear terms for diverse stakeholders. Build and maintain data science-related applications using frameworks. Apply natural language processing techniques and advanced analytics methods to address complex business problems and contribute to the continuous evolution of the organization’s business intelligence and analytics capabilities. Telecommuting permitted up to 3 days per week. Requirements: Employer will accept a Bachelor’s degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and five (5) years of progressive postbaccalaureate related work experience as a Data Scientist or related occupation. Alternatively, the employer will accept a master’s degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and three (3) of related work experience. Must have three (3) years of experience in the following skills (which may be gained concurrently): • Working in a cloud-based environment including Amazon Web Services, Azure, or Google Cloud Platform; • Designing and deploying Regression models and Classification models using Scikit-Learn, TensorFlow, or PyTorch; • Programming and version control using Python, R, SQL, and GIT; • Translating raw data into visuals using Tableau; • Automating MLOps including ML pipelines using MLflow; and • Building and deploying data science applications in Dash or Streamlit. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BMS operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Benefit offerings are subject to the terms and conditions...

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