Jr. Data Scientist 00021
Westbrook, ME · On-site
Hybrid -Westbrook, ME The Machine Intelligence team in R&D is looking for an entry-level Data ... libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and ...
Jr. Data Scientist 00021
Westbrook, ME · On-site
Hybrid -Westbrook, ME The Machine Intelligence team in R&D is looking for an entry-level Data ... libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and ...
Jr. Data Scientist 00021
$45 - $48/hr
Hybrid -Westbrook, ME The Machine Intelligence team in R&D is looking for an entry-level Data ... libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and ...
New
Jr. Data Scientist 00021
$45 - $48/hr
Hybrid -Westbrook, ME The Machine Intelligence team in R&D is looking for an entry-level Data ... libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and ...
New
Entry Level Library information
See Maine salary details
$8.46 - $9.75
2% of jobs
$9.75 - $11.04
6% of jobs
$11.04 - $12.33
6% of jobs
$12.33 - $13.62
9% of jobs
$13.72 is the 25th percentile. Wages below this are outliers.
$13.62 - $14.91
14% of jobs
$14.91 - $16.20
11% of jobs
The median wage is $16.28 / hr.
$16.20 - $17.49
16% of jobs
$18.56 is the 75th percentile. Wages above this are outliers.
$17.49 - $18.78
13% of jobs
$18.78 - $20.07
15% of jobs
$20.07 - $21.36
5% of jobs
$21.36 - $22.64
3% of jobs
$8
$16
$22
How much do entry level library jobs pay per hour?
As of Jul 11, 2026, the average hourly pay for entry level library in Maine is $16.53, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $19.23 per hour, depending on experience, location, and employer.
Can you get a job in a library without being a librarian?
Yes, entry-level library positions such as library assistants or clerks do not require a librarian certification and typically involve tasks like shelving, customer service, and basic administrative work. These roles often require good organizational skills and familiarity with library systems but do not require a master's degree in library science.
What types of tasks and responsibilities can I expect in an entry-level library position?
In an entry-level library role, you will typically assist with checking books in and out, reshelving materials, and helping patrons locate resources. You may also be responsible for maintaining the organization of the library, processing new acquisitions, and supporting library programs or events. Collaboration with other staff members is common, especially when assisting with community outreach or technology support. This role provides a strong foundation for understanding library operations and can open doors to more specialized positions in the future.
Is it hard to get hired as a librarian?
Getting hired as an entry-level librarian can be competitive, as many positions require a master's degree in library science and relevant skills such as cataloging and customer service. Candidates with internships, certifications, or experience in library technology may have an advantage in the hiring process.
What library positions don't require a degree?
Entry-level library positions such as library assistants or clerks typically do not require a college degree. These roles often focus on customer service, shelving, and basic administrative tasks, and may require familiarity with library systems or tools but usually only need a high school diploma or equivalent.
What are entry-level library jobs?
Entry-level library jobs are positions within libraries that require minimal prior experience and typically focus on supporting daily operations. These roles often include tasks such as shelving books, assisting patrons with locating materials, checking items in and out, and helping maintain an organized library environment. Entry-level positions are ideal for those new to library work and can serve as a stepping stone toward more specialized or advanced roles within the library field. Common job titles include Library Assistant, Library Aide, and Circulation Clerk. Most of these jobs require a high school diploma or equivalent, and on-the-job training is frequently provided.
What do you need to work at a library with no experience?
Entry level library positions typically require a high school diploma or equivalent and good communication skills. Prior experience is not usually necessary, but familiarity with computers, basic organization, and customer service can be helpful. Some libraries may offer on-the-job training for new employees.
What are the key skills and qualifications needed to thrive as an Entry Level Library Assistant, and why are they important?
To thrive as an Entry Level Library Assistant, you need organizational skills, attention to detail, and a high school diploma or equivalent, with some roles preferring familiarity with library operations. Basic proficiency with library catalog systems, databases, and office software like Microsoft Office is often required. Strong customer service, communication, and teamwork skills help you assist patrons and collaborate with staff effectively. These abilities ensure smooth library operations, positive user experiences, and efficient resource management.
What is the difference between Entry Level Library vs Library Assistant?
| Aspect | Entry Level Library | Library Assistant |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some roles may prefer associate degree | High school diploma; some positions may require coursework in library science |
| Work Environment | Public, academic, or special libraries; customer service and administrative tasks | Public, academic, or special libraries; assisting patrons and managing materials |
| Employer & Industry Usage | Libraries, educational institutions, community centers | Libraries, educational institutions, government agencies |
Both roles serve in library settings with similar environments, but 'Library Assistant' often implies more specific responsibilities or experience. Entry Level Library positions are typically the starting point for those interested in library work, with minimal experience required. Understanding these differences can help job seekers target the right roles based on their qualifications and career goals.
What are the most commonly searched types of Library jobs in Maine? The most popular types of Library jobs in Maine are:
Other
Medical, Life
Posted 3 days ago
Job description
Job Description
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
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
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
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
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications
About WEST COAST CONSULTING
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Irvine, CA, US
Year founded
1998