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Computer Science Freelance Remote Jobs in Washington

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience. Experience ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Bachelor's degree in Statistics, Data Science, Computer Science or Social Science, or 4+ years of ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

The Social App

Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

Bachelor Science degree in Computer Science or Computer Engineering or equivalent with some courses ... Remote with quarterly all-hands in-person. This role compensation is consisting of pay and ...

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Computer Science Freelance Remote information

How to make $2000 a week working from home?

A computer science freelance remote worker can earn $2000 weekly by securing high-paying projects, building a strong portfolio, and specializing in in-demand skills like software development, web design, or cybersecurity. Consistent client acquisition, efficient time management, and leveraging platforms like Upwork or Freelancer can help reach this income level.

Can CS do freelancing?

Computer Science professionals can definitely do freelancing, offering services such as software development, web design, and data analysis remotely. Freelancers in this field often use platforms like Upwork or Freelancer and may require skills in programming languages, project management, and client communication.

What are some typical challenges faced by remote freelance computer science professionals, and how can they be effectively managed?

Remote freelance computer science professionals often face challenges such as managing multiple client deadlines, maintaining clear communication across different time zones, and ensuring consistent motivation without in-person supervision. To effectively manage these, it's important to use project management tools, set clear expectations with clients, and establish a structured daily routine. Regular check-ins and leveraging collaborative platforms can also help maintain transparency and build strong working relationships with clients and team members.

What are the key skills and qualifications needed to thrive as a Computer Science Freelance Remote professional, and why are they important?

To thrive as a Computer Science Freelance Remote professional, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a relevant degree or portfolio. Familiarity with popular coding languages, version control systems like Git, and project management tools such as Jira or Trello is essential. Excellent time management, proactive communication, and adaptability are standout soft skills for remote success. These skills and qualities are crucial for delivering high-quality work, meeting client expectations, and maintaining productivity in a self-directed, remote environment.

What does a Computer Science Freelance Remote professional do?

A Computer Science Freelance Remote professional works independently, often from home or any location with internet access, providing their expertise in areas such as software development, programming, data analysis, or IT support to various clients. Their responsibilities can include building applications, troubleshooting systems, developing websites, or managing databases on a contract basis. This type of work offers flexibility in scheduling and project selection but also requires strong time management and communication skills to deliver quality results to diverse clients.

How to make $1000 a week remotely?

A computer science freelancer can earn $1000 or more weekly by taking on multiple projects such as software development, web design, or data analysis, often through freelance platforms. Building a strong portfolio, acquiring in-demand skills like programming languages, and maintaining consistent client communication are key to reaching this income level.

What is the difference between Computer Science Freelance Remote vs Software Developer?

AspectComputer Science Freelance RemoteSoftware Developer
CredentialsTypically requires a degree in computer science or related field, with certifications optionalUsually requires a degree in computer science or software engineering, with certifications beneficial
Work EnvironmentRemote, freelance projects for various clientsOften remote or on-site, employed by a company or organization
Employer & Industry UsageUsed by independent contractors across tech, startups, and consultingEmployed by tech companies, startups, or corporations
Search & Comparison IntentPeople compare freelance roles with full-time software development jobsOften compared with freelance or contract roles in software development

Computer Science Freelance Remote professionals work independently on diverse projects, often remotely, while Software Developers are typically employed by organizations. Both roles require similar educational backgrounds, but their work settings and employment types differ significantly.

Can I work remotely with a computer science degree?

Computer science freelance remote jobs are common and often require skills in programming, software development, or data analysis. These roles typically involve using online collaboration tools and can be performed from any location with a reliable internet connection.
What are the most commonly searched types of Computer Science Remote jobs in Washington? The most popular types of Computer Science Remote jobs in Washington are:
What are popular job titles related to Computer Science Freelance Remote jobs in Washington? For Computer Science Freelance Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Science Freelance Remote jobs in Washington look for? The top searched job categories for Computer Science Freelance Remote jobs in Washington are:
What cities in Washington are hiring for Computer Science Freelance Remote jobs? Cities in Washington with the most Computer Science Freelance Remote job openings:
Computer Science Freelance Remote jobs near you
Senior Director, Data Science (Remote-Eligible)

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 5 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 145 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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