Data Scientist
AI summary of the role
Early-career data scientist role at Northeastern University's AI Solutions Hub, supporting AI and data science solution delivery across industries.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
- Train, evaluate, and compare machine learning models under supervision.
- Assist with model validation, performance monitoring, and documentation.
- Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
What you’ll bring
- Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or closely related field.
- 0–2 years of industry, research, or applied project experience in data science or machine learning.
- Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
- Working knowledge of SQL and relational databases.
Technologies
Python · NumPy · pandas · scikit-learn · SQL · PyTorch · TensorFlow · HuggingFace · Git · AWS
About Northeastern University
Private R1 research university built on experiential co-op education, operating a globally distributed campus network across 13+ US and international cities.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Opportunity JOB SUMMARY This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern’s Roux Institute in Portland, Maine. The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University’s Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases. Education & Experience Master’s degree (required)
More from the job description
About the Opportunity JOB SUMMARY This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern’s Roux Institute in Portland, Maine. The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University’s Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases. Education & Experience Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. 0–2 years of industry, research, or applied project experience in data science or machine learning. Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable. Industry experience is preferred. Knowledge, Skills, and Abilities Technical and Analytical Foundations Solid understanding of statistical methods, regression, hypothesi [... source excerpt omitted ...] ces with guidance. Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts. Willingness to participate in client meetings in a supporting role. Preferred Experience Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects. Familiarity with cloud platforms (AWS, Azure, or GCP). Understanding of software development best practices such as version control (Git) and Agile workflows. Values & Professional Attributes Ethical and Responsible AI Awareness of ethical AI principles including fairness, transparency, and responsible model use. Willingness to foll [... source excerpt omitted ...] and mentorship. Execution and Ownership Ability to manage assigned tasks, meet deadlines, and maintain high-quality work. Proactive attitude and willingness to take increasing responsibility over time. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applican
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