Jr. Data Scientist

Introduction

The Machine Intelligence team in R&D at the company is seeking an entry-level professional to develop machine learning solutions for hematology analyzers. This role involves working on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will be guided by a senior data scientist to enhance your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.

Required Skills & Qualifications

• 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count)
• Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy)
• Solid foundation in statistics, machine learning, and algorithms
• Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Exposure to deploying ML models on resource-constrained or edge hardware
• Familiarity with model optimization techniques (quantization, ONNX, TFLite)
• Experience with version control (Git) and collaborative software development practices

Day-to-Day Responsibilities

• Develop classification and clustering models on tabular data to support hematology analyzer capabilities
• Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist
• Partner with senior team members to understand requirements, explore data, and validate model performance
• Document your work clearly so it can be reviewed, reproduced, and built upon by the team
• Deploy your solutions to edge hardware

For immediate consideration please click APPLY to begin the screening process with Alex.