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Jr. Data Scientist

Job in Westbrook, Cumberland County, Maine, 04098, USA
Listing for: Mainerafting
Contract position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 40 - 48 USD Hourly USD 40.00 48.00 HOUR
Job Description & How to Apply Below

Title: Jr. Data Scientist

Job Type: Contract

Contract Length: 6 months

Pay Range: $40-48/hr

Start Date: ASAP

Location: Hybrid - Westbrook, ME

About The Opportunity

Our client, a leader in the healthcare diagnostics industry, is looking for an entry-level Jr. Data Scientist to join their Machine Intelligence team in R&D for a 6-month engagement. This project involves developing machine learning solutions for hematology analyzers, specifically focusing on classification and clustering problems on tabular data for edge hardware deployment. This is an excellent opportunity for a curious, adaptable data scientist to build foundational skills in applied machine learning under the guidance of senior experts.

Key Responsibilities & Deliverables

This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:

  • Developing classification and clustering models on tabular data to support hematology analyzer capabilities.
  • Contributing to model development, evaluation, and iteration under the guidance of a senior data scientist.
  • Partnering with senior team members to understand requirements, explore data, and validate model performance.
  • Documenting work clearly so it can be reviewed, reproduced, and built upon by the team.
  • Deploying solutions to edge hardware.
Required Skills & Experience

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

  • 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, Num Py).
  • 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.
  • Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus.
  • A growth mindset, curiosity about the "why" behind data, and the ability to communicate analyses clearly to the team.

W2 only (No C2C or 1099 contractors)

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