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Challenger Learning Center Jobs (NOW HIRING)

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share ... Center on the Client: Relentlessly adding value for our customers. * Be a Challenger: Never ...

Opening, Morning Location Walmart Supercenter #3243 4524 CHALLENGER AVE, ROANOKE, VA, 24012, US Job ... eye care center. They assist with verifying prescription information, aiding in customer ...

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Challenger Learning Center information

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How much do challenger learning center jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for challenger learning center in the United States is $24.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $25.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Challenger Learning Center Educator, and why are they important?

To thrive as a Challenger Learning Center Educator, you need a solid background in STEM education, instructional design, and classroom management, typically supported by a degree in education or a related field. Proficiency with educational technology, simulation software, and curriculum development tools is often required. Strong communication, adaptability, and enthusiasm for inspiring students are essential soft skills in this role. These abilities ensure engaging learning experiences, effective instruction, and positive outcomes for students participating in STEM missions and programs.

What are some common challenges faced by educators working at a Challenger Learning Center, and how can they best prepare for these challenges?

Educators at a Challenger Learning Center often face the challenge of engaging students with varying levels of interest and scientific background in interactive, simulation-based learning. They must adapt quickly to diverse group dynamics and ensure all participants are actively involved. Preparing thoroughly for each mission scenario, staying flexible, and developing strong classroom management skills are key strategies for success. Collaboration with fellow educators and continuous professional development also help staff stay effective and inspired in this unique learning environment.

What is a Challenger Learning Center?

A Challenger Learning Center is an educational facility designed to engage students and visitors in STEM (science, technology, engineering, and math) learning through immersive, space-themed simulations and hands-on activities. Inspired by the legacy of the Challenger Space Shuttle crew, these centers offer interactive missions, workshops, and educational programs that simulate real-world space exploration. The experience encourages teamwork, problem-solving, and critical thinking, making STEM subjects exciting and accessible for learners of all ages.

What is the difference between Challenger Learning Center vs Science Educator?

AspectChallenger Learning CenterScience Educator
Required CredentialsTypically a degree in education, science, or related field; teaching certification often preferredDegree in education, science, or related field; teaching certification usually required
Work EnvironmentEducational centers, museums, or science facilities focused on interactive learningSchools, museums, or community centers delivering science lessons and programs
Employer & IndustryNonprofit organizations, educational institutions, science centersPublic and private schools, educational organizations, museums

Both Challenger Learning Center staff and Science Educators focus on science education and interactive learning. While Challenger Learning Centers emphasize space and STEM simulations, Science Educators typically teach a broader range of science topics in various educational settings. Both roles require similar credentials and serve to inspire students in science and technology fields.

More about Challenger Learning Center jobs
What states have the most Challenger Learning Center jobs? States with the most job openings for Challenger Learning Center jobs include:
What job categories do people searching Challenger Learning Center jobs look for? The top searched job categories for Challenger Learning Center jobs are:
Infographic showing various Challenger Learning Center job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $50,286 per year, or $24.2 per hour.
Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office

Capital One

Richmond, VA • On-site

Full-time

Posted 25 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Senior Manager, Data Science - Model Risk Office

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.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

In Capital One's Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise.

The successful candidate will join the Card Fraud Model Risk team, which is tasked with evaluating risk for Card Fraud models used throughout the customer lifecycle. This role covers fraud detection at various stages, including application, transaction, and payment, for both first-party and third-party use cases. The team conducts thorough assessments of existing fraud models and builds independent challenger models to ensure effective oversight.

Working within a small, innovative group, you will act as a key individual contributor investigating advanced algorithms such as graph, neural, tree-based, and sequence methods to create robust challenger models. Additionally, you will provide mentorship to junior data scientists as you explore cutting-edge solutions and oversee card fraud model risk.

Role Description

In this role, you will:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

  • Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

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 7 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 5 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) plus 2 years of experience performing data analytics

  • At least 2 years of experience leveraging open source programming languages for large scale data analysis

  • At least 2 years of experience working with machine learning

  • At least 2 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 1 year of experience managing people

  • At least 5 years' experience in Python, Scala, or R for large scale data analysis

  • At least 5 years' experience with hands-on Machine Learning model development and deployment

  • Experience with model development/deployment pipeline (e.g. Kubeflow, Kubernetes) is preferred.

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. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science


New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science


Richmond, VA: $209,000 - $238,500 for Sr Mgr, Data Science


Riverwoods, IL: $209,000 - $238,500 for Sr Mgr, 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). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations 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).


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