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Computer Science Opt Jobs in Atlanta, GA (NOW HIRING)

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Hybrid: 2-3 Days On-Site Accepting OPT resumes Experience: Education: Bachelor's degree prefered. Business management, computer science, or any related discipline will be Plus 2- 5 years of data and ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

On-Site Accepting OPT resumes Experience: 5+ of Data Analasis is reuired. Education: Bachelor's degree prefered. Business management, computer science, or any related discipline will be Plus 5+ years ...

Jobsbridge

Junior Java Developer

Atlanta, GA · On-site

OPT and EAD can apply Qualifications: Bachelors or Master's degree in Computer Science 1-3 years of development experience in Java or equivalent experience in object oriented languages Basic database ...

Monitise

A.I. Transformation Lead

Alpharetta, GA · On-site

$141K - $225K/yr

Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

E-Solutions INC

Senior QA Analyst

Atlanta, GA · On-site

Bachelor's degree in Computer Science, Information Systems, Business, Engineering, Mathematics, or ... Opt-Out Option: To report or unsubscribe, email helpdesk@e-solutionsinc.com with the subject line ...

Judge Group, Inc.

C Developer

Milton, GA · On-site

$120K - $125K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

KPMG

Sr. Associate, Data Engineer - PySpark

Atlanta, GA · On-site

$56K - $57K/yr

Bachelor's degree from an accredited college/university in Computer Science, Statistics, Data ... J-1, OPT, CPT or any other employment- KPMG LLP and its affiliates and subsidiaries ("KPMG ...

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Computer Science Opt information

See Atlanta, GA salary details

$20.3K

$68.9K

$134.6K

How much do computer science opt jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer science opt in Atlanta, GA is $68,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,579.00 and $98,998.00 per year, depending on experience, location, and employer.

What is a computer science OPT?

A Computer Science OPT (Optional Practical Training) job is a temporary employment opportunity for international students on an F-1 visa who have completed or are pursuing a degree in computer science. It allows them to gain practical work experience related to their field of study in the U.S. OPT can be up to 12 months, with an additional 24-month extension for students in STEM fields. These jobs typically include roles like software development, data analysis, cybersecurity, and IT support. Employers hiring OPT candidates must comply with specific visa regulations.

What types of projects or tasks can a computer science OPT typically expect to work on during their employment?

As a Computer Science OPT, you'll often be assigned to support ongoing software development, quality assurance, or data analysis projects under the guidance of experienced team members. Daily tasks may include coding, debugging, participating in code reviews, assisting with testing or deployments, and collaborating on technical documentation. Depending on the company's focus, you might also have the chance to work on web development, artificial intelligence, or cloud-based solutions. These experiences not only build your technical skills but also provide valuable exposure to real-world development cycles and team collaboration, enhancing your long-term career prospects in the tech industry.

What are the key skills and qualifications needed to thrive in the computer science OPT position, and why are they important?

To thrive as a Computer Science OPT (Optional Practical Training participant), you typically need a solid understanding of programming languages, algorithms, and data structures, usually demonstrated through a relevant degree in computer science or a related field. Familiarity with software development tools, version control systems like Git, and possibly certifications in specialized areas such as cloud computing or cybersecurity can be advantageous. Excellent problem-solving abilities, teamwork, adaptability, and strong communication skills make candidates stand out. These competencies enable you to contribute effectively to technical projects, smoothly integrate into diverse workplace environments, and adapt to rapidly evolving technology demands.

What are the most commonly searched types of Computer Science Opt jobs in Atlanta, GA?

The most popular types of Computer Science Opt jobs in Atlanta, GA are:

What are popular job titles related to Computer Science Opt jobs in Atlanta, GA?

For Computer Science Opt jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Computer Science Opt jobs in Atlanta, GA look for?

The top searched job categories for Computer Science Opt jobs in Atlanta, GA are:

Computer Science Opt jobs near you
Infographic showing various Computer Science Opt job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $68,936 per year, or $33.1 per hour.

Senior Data Scientist - Fraud

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.

  • Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.

  • Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a strong Data Scientist who can utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space.
Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will come from a fraud background, deeply understanding the importance of fraud in the credit data space.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.
  • Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.
  • Develop customer fraud models with exposure to various fraud types (e.g., account takeover, identity theft, payment fraud).
  • End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise.
  • Design and build novel algorithms to enhance our data governance, quality, and metadata management capabilities, creating new ways to automatically know and manage our data assets.
  • Proactively collect, analyze, and interpret existing internal data and evaluate new, external data sources to identify and propose new product opportunities for our business units.
  • Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.
  • Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence.
  • Translate complex analytical findings and research outputs into clear, compelling presentations and strategic recommendations for diverse stakeholders, including senior leadership.
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
  • Lead the analytical strategy on critical technical capabilities for global company solutions.
  • Work with key stakeholders to support development of proprietary analytical products and custom scores, effectively communicating the "so what" of the analysis using strong data visualizations and business language.
  • Contribute to the evaluation of external data sources and data science capabilities, providing due diligence recommendations.

What experience you need
  • A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 7-10+ years of hands-on experience building and deploying production-level data science solutions using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks,
  • Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc.
  • 4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
  • 4+ years of experience to work with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, GCP-Preferred).
  • Deep knowledge of classical machine learning, statistical modeling, and NLP. You should have a strong command of supervised and unsupervised learning, time-series analysis, and model validation techniques
  • Excellent verbal and written communication skills, with a proven ability to collaborate effectively with cross-functional teams and present complex topics to non-technical audiences
  • 1+ year of experience mentoring junior data scientists
  • 2+ years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future
  • Experience with development and deployment of models in a cloud-based environment such as AWS or GCP.
  • Background in, and an innate talent and passion for, trying new technologies and quickly assessing value and implementability within organizations.
  • Hunger for innovation and ability to switch between multiple projects at once.

What could set you apart
  • Extensive experience in developing and deploying production-level Fraud and Credit risk models.
  • Extensive experience in building, fine-tuning, and productionizing GenAI and LLM solutions (e.g., RAG, fine-tuning, LLM orchestration).
  • Demonstrable, hands-on experience building and fine-tuning LLMs, developing Retrieval-Augmented Generation (RAG) systems, and understanding the MLOps lifecycle for GenAI.
  • Prior experience working in the financial services industry (e.g., risk modeling, algorithmic trading, fraud detection, or compliance).
  • A portfolio or past experience building models specifically for data management (e.g., data quality anomaly detection, PII identification, automated data cataloging).
  • A history of publishing research in relevant AI/ML conferences or contributing to major open-source data science projects.
  • Knowledge in graph mining and graph data model
  • Innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.
  • Demonstrable experience with identity graphs and graph-related technologies is a plus.

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

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Hours and flexibility

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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