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
Responsibilities:
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
What you need to succeed:
- 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
TGIT01
Pay: $35.00 - $40.00 per hour
Work Location: Hybrid remote in Westbrook, ME 04098