Data Scientist

Will be working on classification and cluster problems

All data is tabular data about cells

Digging into spreadsheets

Will be working with people familiar with platform.

Needed:

Python / Pandas or other DS library

Stats / ML/ Algos

TensorFlow - not a MUST have

Growth mindset

What you can expect:

• 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

• 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
• Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model
• A growth mindset and willingness to learn from more senior team members
• Ability to communicate analyses and results clearly to your immediate team
• Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus

3.63.6 out of 5 stars Westbrook, ME 04098 Hybrid work $35 - $40 an hour - Contract

Full job description

6+ Months Contract

Onsite in Westbrook - Hybrid (Tuesdays + 1 other day)

Seniority:

Entry level DS. Will be partnered with more senior members. Fresh Grad is OK - ideally some real world experience

Project:

ProCyte One hematology analyzer