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Opt Cpt Data Science Jobs in Atlanta, GA (NOW HIRING)

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

The role involves overseeing data operations, maintaining operational documentation, and ... 1, OPT, CPT or any other employment-based visa) Preferred : • Bachelor's degree from an ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

... data science and responsible AI use. Required Qualifications * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT ...

Showing results 21-40

Opt Cpt Data Science information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do opt cpt data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for opt cpt data science in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is an Opt CPT Data Science job?

Opt CPT Data Science jobs are positions in the data science field that are suitable for international students in the United States on F-1 visas who are authorized to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT). These roles typically involve tasks such as data analysis, machine learning, statistical modeling, and data visualization. Employers hiring for Opt CPT Data Science jobs often consider candidates who require visa sponsorship and are familiar with the OPT/CPT process. The positions can be found across various industries such as technology, finance, healthcare, and retail. These roles help international students gain valuable work experience related to their field of study.

How do Opt CPT Data Scientists typically collaborate with cross-functional teams in an organization?

Data scientists frequently work alongside product managers, engineers, and business analysts to translate business challenges into data-driven solutions. This often involves participating in meetings to understand project goals, sharing progress updates, and presenting findings in a clear, actionable manner to both technical and non-technical stakeholders. Effective communication and teamwork are essential, as data scientists must ensure their insights are understood and can be integrated into business strategies or product development. Collaboration tools and agile methodologies are commonly used to streamline this process.

What are the key skills and qualifications needed to thrive as an Opt CPT Data Scientist?

To thrive as an Opt CPT Data Scientist, you need a solid background in statistics, programming (often in Python or R), and data analysis, typically supported by a related degree such as computer science, statistics, or engineering. Familiarity with tools like SQL, machine learning frameworks (e.g., TensorFlow, Scikit-learn), and data visualization platforms such as Tableau is often required, along with relevant certifications. Strong problem-solving abilities, communication skills, and teamwork are crucial soft skills that help you interpret complex data and convey insights effectively. These competencies are essential for extracting actionable value from data, supporting informed decision-making, and driving organizational success.

What is the difference between Opt Cpt Data Science vs Data Analyst?

AspectOpt Cpt Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentTech companies, finance, healthcare; focus on predictive modeling and machine learningBusiness, marketing, finance; focus on data visualization and reporting
Industry UsageCommon in tech, finance, healthcare sectorsWidely used across industries including retail, finance, and marketing

Opt Cpt Data Science and Data Analyst roles share foundational skills in data handling and analysis. However, Data Scientists often focus on advanced modeling and machine learning, while Data Analysts emphasize data visualization and reporting. Both roles are vital in data-driven decision-making but differ in complexity and scope.

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

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

What cities near Atlanta, GA are hiring for Opt Cpt Data Science jobs?

Cities near Atlanta, GA with the most Opt Cpt Data Science job openings:

Infographic showing various Opt Cpt Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Machine Learning Lead Engineer

Cox Automotive

Avondale Estates, GA • On-site

$134K - $224K/yr

Full-time

PTO

Re-posted 16 days ago


Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

99th of 151 rated financial services


Job description

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning.
WHAT YOU'LL DO
Key Responsibilities
  • Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
  • Stay up to date with advancements in ML, AI, and emerging technologies
  • Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
  • Optimize model performance, scalability, and reliability in production environments
  • Collaborate cross-functionally to translate model insights into business value and communicate project updates
  • Contribute to ML infrastructure improvements, best practices, and documentation
  • Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
  • Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
  • Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture.
  • Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning.
  • Analyzes complex data sets to solve real-world business and customer use cases.
  • Performs end-to-end development of machine learning models
  • May assist with or lead the development of industry whitepapers or other technical publications.
  • Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies.
  • Design agentic workflows for autonomous training, data pipelines, and analytical problem solving appropriate to experience level.

Key AI Use Cases
  • AI-Accelerated Model Development: Use GitHub Copilot, Claude Code for rapid ML prototyping, automated feature engineering, and intelligent hyperparameter optimization.
  • Agentic ML Workflows: Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training pipelines, multi-step analysis, and collaborative research.
  • AI-Enhanced Model Interpretation: Build on traditional frameworks (SHAP, LIME) with AI tools for enhanced stakeholder communication and automated insights.
  • AI-Powered Research: Leverage manual/autonomous competitive intelligence and research acceleration tools for methodology discovery and algorithm innovation.

WHO YOU ARE
Required Skills
  • Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
  • Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
  • Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
  • Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
  • Commitment to continuous learning in AI-augmented data science and responsible AI use.

Required Qualifications
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
  • Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
  • Deep expertise in multiple ML domains and familiarity with emerging research areas
  • Strong experience in technology evaluation, competitive analysis, and strategic planning
  • Comfortability with non-deterministic systems
  • Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
  • Experience in Rally, Jira or similar tools
  • Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
  • Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
  • Proven track record of leading innovative projects from concept to proof-of-concept
  • Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
  • Experience building and leading high-performing research or innovation teams
  • Excellent communication skills for technical and executive audiences
  • Strong network within the ML research community
  • Experience with research collaboration and partnership development
  • Other duties as needed or required
  • Must be comfortable with change and an evolving environment

Preferred Qualifications
  • Experience in corporate research labs, innovation teams, or technology consulting
  • Track record of identifying and successfully implementing breakthrough technologies
  • Background in technology transfer from research to business applications
  • Strong presence in the ML community (conference speaking, open-source contributions, etc.)
  • Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML

Leadership Expectations
  • Foster a culture of experimentation, learning, and calculated risk-taking
  • Drive consensus on research priorities while maintaining innovation velocity
  • Develop talent through mentoring in both technical skills and research methodologies
  • Communicate complex experimental results and strategic implications to all organizational levels
  • Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
  • Build bridges between cutting-edge research and practical business applications
  • Establish the team as a recognized center of excellence in experimental ML

USD 134,900.00 - 224,900.00 per year
Compensation:
Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US