Junior Data Scientists

Role Overview

Join Siemens R&D as a Junior Data Scientist to contribute to the end-to-end development of AI/ML systems. You will support algorithm performance definition, data curation, model development, and scientific evaluation.

Your Responsibilities Include:

• Apply statistical and software engineering methods to develop AI/ML components for defined use cases.
• Collaborate with domain experts and product management to translate needs into measurable performance targets.
• Manage representative data cohorts, annotations, and documentation throughout the lifecycle.
• Execute reproducible evaluations providing evidence of algorithm suitability and limitations.
• Support regulatory compliance by contributing work products for verification, validation, and release.
  

Key Responsibilities:

• Translate customer needs into state-of-the-art performance targets with senior guidance.
• Perform exploratory data analysis to identify gaps, bias, and quality issues.
• Define data needs for training and evaluation aligned with regulatory strategy.
• SPECIFY annotations, acceptance criteria, and collaborate on sourcing.
  

Qualifications:

• Master's degree in Computer Science, Data Science, Statistics, or related field (Ph.D. welcome).
• Coursework/Training in Probability, Machine Learning, Linear Algebra, Algorithms.

Experience Level:
Junior R&D position accepting up to approximately three years of professional experience or relevant academic research.

Desired Skills & Knowledge:

• Active programming in Python (NumPy, Pandas, PyTorch, TensorFlow).
• Experience with MLOps concepts including versioning, pipelines, and CI/CD.
• Familiarity with Large Language Models, Generative AI, and Agentic AI workflows.
• Knowledge of healthcare standards like DICOM is preferred.