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Remote Fashion Computer Science Jobs (NOW HIRING)

... 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 ...

Senior Flight Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

Bachelor's or advanced degree in Computer Science, Aerospace Engineering, or a related field. * 5+ ... or remote fashion. Our preference is for candidates in or around this area (or willing to relocate ...

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting ... Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial ...

$39K - $49K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... We are looking for a current Penn State student with a background in computer science and ...

Full‑time. Computer Science PhD - Mercor (Remote) Project: Premier AI labs, subject‑matter expertise. Job Type: Full‑time remote. Physics Researcher - AI Systems (Remote) Project:

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates willpossessa PhD in Artificial Intelligence, Computer Science, Computer Engineering ...

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Remote Fashion Computer Science information

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$83.5K

$127K

$171K

How much do remote fashion computer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote fashion computer science in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a remote fashion computer science role, and why are they important?

To excel in a remote fashion computer science position, you need a solid background in computer science, data analysis, and an understanding of fashion industry trends, typically supported by a degree in computer science or related field. Experience with programming languages (such as Python or R), data visualization tools, and familiarity with fashion-specific software (like CLO 3D or Browzwear) are often required. Strong communication, creativity, and self-motivation are crucial soft skills for collaborating virtually and innovating within digital fashion projects. These skills ensure you can effectively bridge technology and fashion, driving innovation and efficiency in a remote work environment.

What is the difference between Remote Fashion Computer Science vs Remote Fashion Data Analysis?

AspectRemote Fashion Computer ScienceRemote Fashion Data Analysis
Required CredentialsBachelor's in Computer Science, relevant programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentCollaborative teams, tech-focused environmentData-driven projects, analytical setting
Industry UsageDeveloping fashion tech, software solutionsInterpreting fashion data, trend analysis
Common Search/ComparisonRemote Fashion Computer Science vs Remote Fashion Data Analysis

Remote Fashion Computer Science focuses on software development, programming, and tech solutions within the fashion industry, requiring coding skills and computer science credentials. In contrast, Remote Fashion Data Analysis emphasizes interpreting fashion data, trends, and analytics, often requiring statistical expertise. Both roles are remote, industry-specific, and involve collaboration, but they differ in core skills and daily tasks.

What is a Remote Fashion Computer Science job?

A Remote Fashion Computer Science job involves applying computer science principles and technologies to solve problems or create innovations within the fashion industry, all while working remotely. Professionals in this field might work on projects such as developing virtual fitting rooms, fashion recommendation algorithms, e-commerce platforms, or using AI to forecast trends. The remote aspect means they can perform their duties from anywhere with an internet connection, collaborating with fashion brands, retailers, or tech companies. This role requires a blend of technical programming skills and a strong understanding of fashion trends and consumer behavior.

How does a remote fashion computer science professional typically collaborate with design and development teams?

Remote fashion computer science professionals often work closely with designers, product developers, and data analysts through virtual meetings and collaborative software tools. Communication is key, as you'll need to translate technical concepts into actionable insights for creative teams, often using project management platforms and shared digital workspaces. Regular check-ins and clear documentation help bridge the gap between technical and creative functions, ensuring smooth project progress even when working from different locations.
More about Remote Fashion Computer Science jobs
What cities are hiring for Remote Fashion Computer Science jobs? Cities with the most Remote Fashion Computer Science job openings:
What states have the most Remote Fashion Computer Science jobs? States with the most job openings for Remote Fashion Computer Science jobs include:
Infographic showing various Remote Fashion Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Data Scientist (Remote)

Data Scientist (Remote)

Elder Research

Arlington, VA • On-site, Remote

Full-time

PTO

Re-posted 13 days ago


Job description

Job Title: Data Scientist
Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years
Position Overview:
Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
Requirements:
  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations
  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:
  • Expertise using Qlik to embed visualizations into webpages
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Familiarity with PySpark and Python
  • Comfortable developing complex SQL queries to extract, transform, and load data

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.