Engineer, 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 .

The Engineer is a fully independent mid-level individual contributor who is trusted to own complex work within their assigned areas. You will operate without guidance on most technical work, act as a subject matter expert within your projects, and contribute meaningfully to improving the team’s engineering capability through coaching and process improvement.

Technical Delivery • Lead implementation of complex, loosely scoped problems without guidance; exercise independent judgment on approach, trade-offs, and implementation decisions. • Write well-tested code and pipeline designs without guidance; provide technical guidance to other engineers on the team. • Act as a subject matter expert within your assigned projects and areas of work; ensure test coverage and deployment quality are consistently high. Problem Solving: • Scope features independently for multi-week efforts; make confident technical decisions and validate assumptions with stakeholders where needed. • Learn and evaluate new technologies independently; recommend tools and approaches for team adoption. • Identify and surface technical debt; contribute to prioritization conversations about when and how to address it. • Debug and resolve issues as an SME; tackle complex or unfamiliar issues with a clear hypothesis and a path to resolution before escalating. Collaboration & Growth: • Persuade and negotiate with stakeholders to achieve the right outcomes; articulate complex technical information clearly across audiences. • Contribute to team direction; understand how broader business and technical priorities shape the work. • Coach less experienced engineers in tools, practices, and problem-solving approaches within your assigned areas. • Drive improvements to processes, knowledge, and engineering quality beyond your own assigned work.

Education: • BA/BS required (quantitative or engineering discipline preferred); MS a plus. Experience: • 2+ years of experience in data engineering, software engineering, ML engineering, or a related field; relevant advanced degrees contribute to required years of experience. • Track record of independent delivery with evidence of enabling less experienced teammates. Technical Skills: • Strong proficiency in Python and SQL; writes clean, well-tested code without guidance and provides guidance to others. • Solid experience with data pipeline development and ML workflows (feature pipelines, model inputs, data preparation); growing MLOps proficiency. • Hands-on experience with cloud-native platforms (Databricks preferred; AWS or Azure broadly). • Independently learns and evaluates new technologies; has recommended tools or approaches for team adoption. Competencies: • Fully independent on most technical work; exercises good judgment consistently. • Actively contributes to team growth through knowledge sharing, coaching, and improving the quality of team execution. • Communicates clearly and persuasively with technical and non-technical