AI Analytics Engineer - Data Pipelines & ML

Bristol Myers Squibb EU Policy; Princeton (NJ); On-site; USD 115,000 - 139,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Programs

401(k) plan

Paid time off

Job summary

Bristol Myers Squibb EU Policy seeks an experienced mid-level Engineer, Analytical AI Engineering in Princeton, NJ to own complex work with minimal guidance and act as a SME within projects. You will coach teammates and improve engineering processes, contributing to the team’s capability and quality.

You will work with Python, SQL, data pipelines, and ML workflows on cloud-native platforms, collaborating with stakeholders to deliver robust solutions that support patient outcomes and the

Qualifications

• BA/BS required (quantitative or engineering discipline preferred); MS a plus.
• 2+ years of experience in data engineering, software engineering, ML engineering, or a related field.
• Track record of independent delivery with evidence of enabling less experienced teammates.
• Strong proficiency in Python and SQL; writes clean, well-tested code.
• Experience with data pipeline development and ML workflows; growing MLOps proficiency.
• Hands-on experience with cloud-native platforms (Databricks preferred; AWS or Azure broadly).

Responsibilities

• 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.
• 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.
• 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.

Skills

Python

SQL

Data pipelines

ML workflows

Databricks

AWS/Azure

Independent delivery

Communication

Education

BA/BS in relevant field

Tools

Databricks

AWS

Azure

Job description

Bristol Myers Squibb EU Policy seeks an experienced mid-level Engineer, Analytical AI Engineering in Princeton, NJ to own complex work with minimal guidance and act as a SME within projects. You will coach teammates and improve engineering processes, contributing to the team’s capability and quality.

You will work with Python, SQL, data pipelines, and ML workflows on cloud-native platforms, collaborating with stakeholders to deliver robust solutions that support patient outcomes and the