Bristolmyerssquibb
Engineer, Analytical AI Engineering
Princeton - NJ - US · Part-time
Sponsorship not specified$115k-$139kDetected 1 day ago
PythonSQLDatabricksAWSAzureMachine LearningData EngineeringMLOpsAccessibilityExcelClinical TrialsCommunicationCollaborationProblem SolvingMentoring
> stay_score
odds of building a lasting career here
33Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.
Lottery odds assume a STEM candidate.
Personalize to your clock →> community_outcomes
No reports yet — be the first to help the next applicant.
About the role
- Additional incentive cash and stock opportunities (based on eligibility) may be available.
- Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment.
- Medical, pharmacy, dental, and vision care.
Responsibilities
- Lead implementation of complex, loosely scoped problems without guidance
- Write well-tested code and pipeline designs without guidance
- make confident technical decisions and validate assumptions with stakeholders where needed.
Requirements
- 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.
- 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.
- If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com.
- Education:
- MS a plus.
Nice to have
- BA/BS required (quantitative or engineering discipline preferred)
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
- Competencies:
- Fully independent on most technical work
- exercises good judgment consistently.
- Communicates clearly and persuasively with technical and non-technical stakeholders.
- Proactively identifies problems and improvement opportunities.
Compensation
- Compensation Overview:
Benefits
- ensure test coverage and deployment quality are consistently high.
Company info
- If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.
Apply directly at Bristolmyerssquibb →Create a free account for alerts like thisView Bristolmyerssquibb immigration profile
This listing is sourced directly from Bristolmyerssquibb's careers page and normalized into a canonical job model.