Contract Data Scientist — Edge ML for Medical Diagnostics

TEKsystems; Westbrook (ME); Hybrid; USD 55,000 - 78,000; Full time

Job summary

TEKsystems in Westbrook, ME is seeking an Entry Level Data Scientist contractor to develop classification and clustering models on tabular data for hematology analyzer capabilities. You will collaborate with a senior data scientist to understand requirements, explore data, and validate model performance.

This contract role involves deploying solutions to edge hardware, documenting work for reproducibility, and contributing to model development, evaluation, and iteration while learning on the

Qualifications

• Develop classification and clustering models on tabular data.
• Collaborate with a senior data scientist to evaluate and iterate models.
• Understand requirements, explore data, and validate model performance.
• Document work for reproducibility and team review.
• Deploy solutions to edge hardware.

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.

Skills

Python

Data Science

Machine Learning

Data

SQL

Spark

Data Analysis

Predictive Modelling

Predictive Analytics

Statistics

Job description

TEKsystems in Westbrook, ME is seeking an Entry Level Data Scientist contractor to develop classification and clustering models on tabular data for hematology analyzer capabilities. You will collaborate with a senior data scientist to understand requirements, explore data, and validate model performance.

This contract role involves deploying solutions to edge hardware, documenting work for reproducibility, and contributing to model development, evaluation, and iteration while learning on the