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Remote Computer Science Opt Jobs in New York (NOW HIRING)

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

NAVA Software Solutions

IOS Developer (Remote)

Edison, NJ · On-site +1

$53.50 - $73.75/hr

Remote project Duration: 12 months Description: Front End - Presentation Layer (70%) Middle Tier ... Bachelor's degree in computer science or related analytical field or equivalent experience.

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

... computer science, or a similar related field. * 6+ years experience in Data Scientist or Machine ... Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Please ...

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Remote Computer Science Opt information

What is a remote computer science OPT?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

What are the key skills and qualifications needed to thrive as a remote computer science OPT, and why are they important?

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

How do remote computer science OPT professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.
What are the most commonly searched types of Computer Science Opt jobs in New York? The most popular types of Computer Science Opt jobs in New York are:
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Remote Computer Science Opt jobs near you

Sr Data Scientist with AI(FT role- NO OPT/CPT)

Apetan Consulting llc

Parsippany, NJ • Remote

$80 - $150/hr

Contractor

Re-posted 16 days ago

Job description

Position: Sr Data Scientist with AI((NO OPT/CPT)
Location: NJ – Remote
Type – Full Time
Job Description-:

  • Data Collection & Cleaning
  • Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it for analysis.
  • Exploratory Data Analysis (EDA)
  • Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
  • Model Development
  • Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
  • AI/ML Implementation
  • Apply techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
  • Feature Engineering
  • Transform raw data into meaningful features that improve model performance.
  • Model Evaluation & Optimization
  • Test models using metrics (accuracy, precision, recall, etc.) and improve them.
  • Deployment & MonitoringWork with engineers to deploy models into production and monitor performance over time.
  • Communication
  • Translate complex results into actionable insights for stakeholders using dashboards, reports, or presentations.

Key Skills Required

Technical Skills

Programming: Python, R, SQL

Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn

Data Visualization: Matplotlib, Seaborn, Power BI, Tableau

Big Data Tools: Spark, Hadoop

Knowledge of Statistics and Linear Algebra

AI-Specific Skills

Deep learning, NLP, computer vision

Understanding of neural networks and optimization techniques

Familiarity with model deployment (MLOps basics)

Education & Background

Bachelor’s or Master’s in fields like:

Computer Science

Data Science

Mathematics / Statistics

Engineering

Certifications or hands-on projects in AI/ML are highly valued.