ZipRecruiter

Log In

1

Library Associate I Jobs in Kettering, MD (NOW HIRING)

Steampunk

Senior Integration Engineer

Mclean, VA

... i.e. AWS, Azure, or GCP) * 5 Years of Experience with Git SCM providers such as GitHub, GitLab ... Azure Developer Associate * 5 Years of application development experience in an Agile environment

AMN Healthcare Allied

Travel CT Tech

Bethesda, MD · On-site

$3.0K/wk

... associate's degree in radiology technology, 2 years of CT Tech experience, and completion of 1 ... Housing the National Institutes of Health, National Library of Medicine and the National Naval ...

Steampunk

Integration Architect

Mclean, VA

$71.50 - $92.25/hr

... i.e. AWS, Azure, or GCP) * 8 Years of Experience with Git SCM providers such as GitHub, GitLab ... Azure Developer Associate * 5 Years of application development experience in an Agile environment

ManTech

Cloud Engineer

Fort George G Meade, MD

$179K - $318K/yr

... Kubernetes Client Libraries, and other related cloud technologies. * Design and develop ... Hands-on experience with container technologies (i.e. Docker) and orchestration tools (i.e.

Steampunk

Senior Integration Engineer

Mclean, VA

... i.e. AWS, Azure, or GCP) * 5 Years of Experience with Git SCM providers such as GitHub, GitLab ... Azure Developer Associate * 5 Years of application development experience in an Agile environment

previous pagenext page

Showing results 21-40

All JobsLibrary Associate I JobsLibrary Associate I Jobs in Kettering, MD

Library Associate I information

See Kettering, MD salary details

$9

$20

$34

How much do library associate i jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for library associate i in Kettering, MD is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $24.42 per hour, depending on experience, location, and employer.

What are the primary responsibilities of a Library Associate I?

A Library Associate I typically assists with daily library operations, including checking materials in and out, shelving books, helping patrons locate resources, and answering basic reference questions. They may also assist with library programs, maintain records, and perform clerical tasks. This role serves as an important point of contact for library visitors, ensuring a welcoming and organized environment.

What are the key skills and qualifications needed to thrive as a Library Associate I?

To thrive as a Library Associate I, you typically need a high school diploma or equivalent, strong organizational abilities, and fundamental knowledge of library operations. Familiarity with integrated library systems (ILS), cataloging tools, and office software is often required. Excellent customer service, communication, and problem-solving skills help you assist patrons and work collaboratively with colleagues. These skills ensure efficient library operations, positive patron experiences, and effective support for community learning needs.

How do Library Associate I team members interact with library patrons and support daily operations?

Library Associate I team members are often the first point of contact for patrons, assisting with checking materials in and out, answering basic reference questions, and helping users locate resources. They may also support programming, such as setting up for events or guiding patrons in using computers and other technology. Teamwork is important, as Library Associates collaborate closely with librarians and other staff to ensure smooth daily operations and a welcoming environment. This role provides valuable exposure to various library functions, which can be beneficial for those aspiring to advance within the library system.

Can you get a job at a library with no experience?

Library Associate I positions often do not require prior experience, as they provide on-the-job training. Candidates typically need a high school diploma or equivalent and good organizational skills; some libraries may prefer or require familiarity with library systems or customer service experience.

What are the most commonly searched types of Library I jobs in Kettering, MD?

The most popular types of Library I jobs in Kettering, MD are:

What cities near Kettering, MD are hiring for Library Associate I jobs?

Cities near Kettering, MD with the most Library Associate I job openings:

Library Associate I jobs near you
Infographic showing various Library Associate I job openings in Kettering, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $43,384 per year, or $20.9 per hour.

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Capital One National Association

Mclean, VA • On-site

$161.80 - $184.60/hr

Other

Posted 7 days ago

Job description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making.

Team Description

The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement, segmentation, and customer value modeling. We do data and model pipelining, machine learning, and well‑managed model operations using Python and ML libraries in our tech stacks. If you enjoy the challenge of creating best‑in‑class solutions that provide long term value in a rapidly changing space, this is the role for you.

Role Description

In this role you will be building the next generation of customer valuations models for the Retail Bank that improve marketing efficiency and drive account growth via intelligent targeting, measurement, and segmentation.

Responsibilities
  • Work closely with subject matter experts to deliver flexible, well‑managed models that perform well under a variety of economic conditions
  • Translate business goals into data science solutions and communicate with senior stakeholders
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Explore next‑generation model architectures (eg embeddings, sequence models) to unlock value in our marketing efficiency
The Ideal Candidate is:
  • Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience with software engineering techniques and developing end‑to‑end model pipelines in Python.
  • Statistically‑minded. You are experienced in various machine learning algorithms and predictive solutions
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea
  • A storyteller. You are effective in communicating technical details to a variety of audiences
Basic Qualifications
  • Currently has or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
    • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications
  • Master’s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field (Science, Technology, Engineering, or Mathematics)
  • At least 3 years’ experience in Python
  • At least 3 years’ experience with machine learning, including XGBoost
  • At least 3 years’ experience with SQL
  • At least 1 year’s experience in open source programming languages for large scale data analysis
  • Experience with next‑generation model architectures such as embeddings, sequence models

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries for part‑time roles will be prorated based upon the agreed‑upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more on the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

#J-18808-Ljbffr

Apply