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Remote Fashion Computer Science Jobs in Virginia

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

QCi

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information ...

VTG

Systems Engineer

Springfield, VA · On-site +1

$110K - $185K/yr

Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences ... Computer Science, Information Technology, Management Information Systems, or related STEM degree ...

VivSoft Technologies LLC

Salesforce Developer

Herndon, VA · On-site +1

$57 - $75.50/hr

Remote Clearance Required: Public Trust Clearance Position Type: Full-Time About the company: At ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

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All JobsFashion Computer Science JobsRemote Fashion Computer Science JobsRemote Fashion Computer Science Jobs in Virginia

Remote Fashion Computer Science information

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.
What are popular job titles related to Remote Fashion Computer Science jobs in Virginia? For Remote Fashion Computer Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Fashion Computer Science jobs in Virginia look for? The top searched job categories for Remote Fashion Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Remote Fashion Computer Science jobs? Cities in Virginia with the most Remote Fashion Computer Science job openings:
Remote Fashion Computer Science jobs near you
Senior Cognitive Scientist

Senior Cognitive Scientist

VivSoft Technologies LLC

Herndon, VA • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 20 days ago

Job description

About Us:
VivSoft is an emerging technology company specializing in Cloud, Enterprise DevSecOps, AI, and Digital Customer Experience to drive mission-enabling digital transformation. We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and designers experienced in high-performance software and AI factory accelerators. At VivSoft, you'll lead high-impact federal proposals that shape mission-critical solutions in cutting-edge fields like DevSecOps, AI, and Cloud technologies.
Job Summary:
We are seeking a highly skilled Senior Cognitive Scientist to lead research and development efforts focused on applying cognitive science principles to artificial intelligence within enterprise business applications. This role involves designing advanced approaches for learning representations from textual data to enhance information discovery and support human decision-making. The ideal candidate will have deep expertise in cognitive modeling, training design, and performance metrics, along with hands-on experience in AI, machine learning, and natural language processing.
Key Responsibilities:
  • Apply cognitive science principles to enable AI solutions in enterprise business applications.
  • Design and implement methods for learning representations from textual data to improve information retrieval and decision-making.
  • Lead R&D initiatives in training design, competency modeling, and cognitive performance metrics.
  • Identify cognitive training requirements and develop cognitive skills training programs.
  • Develop and validate metrics for assessing cognitive performance and competency models.
  • Collaborate with cross-functional teams to integrate cognitive science into AI-driven systems.
  • Contribute to all phases of software development, with emphasis on planning, analysis, testing, integration, documentation, and presentation.

Minimum Qualifications:
  • Minimum of five (5) years of relevant experience in cognitive science, AI, or related fields.
  • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience with artificial intelligence, machine learning, natural language processing (NLP), knowledge discovery, data mining, and unstructured data analytics.
  • Proficiency in one or more programming languages, including but not limited to: Java, C/C++, or Python.
  • Experience with one or more of the following: NLP, text understanding, classification, pattern recognition, recommendation systems, targeting systems, or ranking systems.
  • Must possess IT-II Non-Critical Sensitive security clearance or Tier 3 (T3) at time of proposal submission.

Preferred Skills:
  • Strong research background in cognitive science and its application to AI.
  • Experience designing cognitive training programs and performance metrics.
  • Familiarity with enterprise AI applications and human-computer interaction.

Benefits:
  • Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement
  • Flexible/remote work schedules

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