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Remote Mathematics Jobs in Washington (NOW HIRING)

NTT DATA Services

DevSecOps Engineer - REMOTE

Bethesda, MD · Remote

$65K - $136K/yr

... or Mathematics with a concentration in computer science or equivalent * Minimum 3 years of ... The starting pay range for this remote role is $65,592 - $136,650. This range reflects the minimum ...

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All JobsMathematics JobsRemote Mathematics JobsRemote Mathematics Jobs in Washington

Remote Mathematics information

See Washington salary details

$23.8K

$59.4K

$113.8K

How much do remote mathematics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote mathematics in Washington is $59,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $63,400.00 per year, depending on experience, location, and employer.

What is a remote mathematics job?

A remote mathematics job is a position where professionals use their mathematical skills to solve problems, analyze data, or teach mathematics, all while working from a location outside of a traditional office, typically from home. These jobs can include roles such as online math instructors, data analysts, quantitative researchers, or statisticians. Remote mathematics professionals often use digital tools to collaborate with colleagues, communicate with students or clients, and complete their work. The demand for remote math jobs has grown due to advancements in technology and the increasing need for data-driven decision-making across industries.

How do remote mathematics professionals typically collaborate with team members or students in a virtual environment?

Remote mathematics professionals often use a combination of video conferencing, collaborative whiteboard tools, and shared document platforms to work with colleagues or instruct students. Regular virtual meetings help maintain clear communication, while tools like Zoom, Microsoft Teams, and Google Workspace enable real-time problem solving and resource sharing. Building rapport and ensuring everyone is on the same page can be challenging remotely, but proactive communication and scheduled check-ins help foster a supportive and productive work environment.

What is the difference between Remote Mathematics vs Remote Data Analyst?

AspectRemote MathematicsRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, research-focused, problem-solvingRemote, data interpretation, reporting
Industry UsageAcademia, research, finance, techBusiness, marketing, finance, healthcare

Remote Mathematics involves applying advanced mathematical theories and problem-solving skills, often in research or academic settings. Remote Data Analysts focus on interpreting data sets to inform business decisions, requiring strong analytical and technical skills. While both roles are remote and require quantitative expertise, Remote Mathematics emphasizes theoretical and research work, whereas Remote Data Analysts concentrate on data-driven insights for organizations.

What are the key skills and qualifications needed to thrive as a Remote Mathematics Instructor, and why are they important?

To thrive as a Remote Mathematics Instructor, you need strong mathematical knowledge, teaching credentials (such as a degree in mathematics or education), and experience in instructional design. Familiarity with virtual learning platforms (like Zoom, Google Classroom, or Moodle), digital whiteboards, and online assessment tools is typically required. Exceptional communication, self-motivation, and adaptability help instructors engage students and navigate the challenges of remote teaching. These skills and tools are essential for effectively delivering lessons, supporting student learning, and maintaining engagement in an online environment.
What are the most commonly searched types of Mathematics jobs in Washington? The most popular types of Mathematics jobs in Washington are:
What are popular job titles related to Remote Mathematics jobs in Washington? For Remote Mathematics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Mathematics jobs in Washington look for? The top searched job categories for Remote Mathematics jobs in Washington are:
What cities in Washington are hiring for Remote Mathematics jobs? Cities in Washington with the most Remote Mathematics job openings:
Remote Mathematics jobs near you
Infographic showing various Remote Mathematics job openings in Washington as of July 2026, with employment types broken down into 2% Internship, 66% Full Time, 23% Part Time, and 9% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $59,439 per year, or $28.6 per hour.
Senior Director, Data Science (Remote-Eligible)

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 7 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 170 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

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 Science Leader 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.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • 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.

  • 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 11 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 9 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 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

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

Capital One is open to hiring a Remote Employee for this opportunity.

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.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, 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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