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Remote Fashion Computer Science Jobs in Miami, FL

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Masters degree in data science, computer science, marine biology, or related field, OR Bachelors ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Data Scientist

Miami, FL ยท On-site +1

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

AI/ML Engineer

Miami, FL ยท On-site +1

$120K - $150K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... Remote Work Options * Paid Time Off * Learning & Certification Reimbursement * Employee Wellness ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

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Remote Fashion Computer Science information

See Miami, FL salary details

$79.9K

$121.5K

$163.6K

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

As of Aug 5, 2026, the average yearly pay for remote fashion computer science in Miami, FL is $121,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $137,200.00 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?

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 Miami, FL? For Remote Fashion Computer Science jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Fashion Computer Science jobs in Miami, FL look for? The top searched job categories for Remote Fashion Computer Science jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Fashion Computer Science jobs? Cities near Miami, FL with the most Remote Fashion Computer Science job openings:

Full-time

Medical, Dental, PTO

Re-posted 23 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer