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Ai Data Analytics Jobs in Georgia (NOW HIRING)

Scalable Systems is a USA based Big Data, Analytics and Digital Transformation company focused on ... across AI programs. • Manage AI pilots/POCs and facilitate their transition into scalable ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Analyze structured and unstructured data to identify patterns, generate insights, and support model ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Analyze structured and unstructured data to identify patterns, generate insights, and support model ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Showing results 41-60

Ai Data Analytics information

See Georgia salary details

$20

$46

$79

How much do ai data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai data analytics in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What job categories do people searching Ai Data Analytics jobs in Georgia look for?

The top searched job categories for Ai Data Analytics jobs in Georgia are:

What cities in Georgia are hiring for Ai Data Analytics jobs?

Cities in Georgia with the most Ai Data Analytics job openings:

Infographic showing various Ai Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Counsel, Privacy, AI & Data Responsibility

Mastercard, Inc.

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Counsel, Privacy, AI & Data Responsibility
Who is Mastercard
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
• Mastercard is committed to balancing innovation while protecting individual privacy and has embraced privacy and data protection as core to the successful execution of our business strategy. As part of that commitment, Mastercard has established a world-class privacy program and is adding talent to our global team.
• The Counsel - Privacy, AI & Data Responsibility role will ensure compliance with global privacy and data protection laws while enabling data-driven innovation within the Mastercard Services organization, with particular focus on supporting the Security Solutions (SSO) business line. In particular, the position will support SSO products in the AI-Network Solutions, Payment Resiliency, Financial Crimes, and Digital Experience & Disputes Portfolio.
• The position will report to the Senior Managing Counsel, Privacy, AI & Data Responsibility who provides global privacy support for the SSO business line, and will serve as a member of both the Global Privacy, AI & Data Responsibility team and the Law & Policy team.
• The ideal candidate will have the ability to think and act both strategically and tactically with respect to the needs of business clients and their objectives while ensuring that the corporation remains compliant with privacy and data-related laws, as well as industry best practices.
Role
• Engage with business and legal stakeholders to conduct privacy by design reviews for new SSO products and services and proposed synergies with other areas of the business.
• Among other things, this involves advising on the intersection between privacy laws and other legal requirements pertaining to the lawful use of data and AI in connection with fraud prevention, satisfying regulatory requirements relating to financial crimes, and increasing the resilience of payments and payment systems through services offering increased transparency and dispute resolution capabilities-including developing business-friendly legal guidelines for these activities while following the Mastercard privacy by design process.
• Negotiate complex data-related agreements (including data processing agreements), quickly identifying the legal and strategic implications of contractual terms and conditions.
• Identify business requirements resulting from new and evolving privacy laws and regulations, and provide guidance on topics relevant to the SSO organization, including but not limited to the use of AI modeling and scoring capabilities, data rights and use, the application of emerging/advanced privacy technologies, and helping design controls for data environments used to support fraud prevention offerings and synergies.
• Collaborate with other internal stakeholders on regional privacy analysis and advice relating to global SSO products and services, including helping advise on data governance controls to support compliance with applicable laws.
All About You
• JD from an accredited law school and admitted to practice in the US.
• Demonstrated experience advising companies on privacy, AI and data-related issues.
• Demonstrated familiarity with understanding data flows and the associated privacy implications.
• Expertise in global privacy and data regulatory laws and frameworks, including the GDPR and privacy principles that are common across global laws and regulations.
• Demonstrated experience in relevant technologies including data anonymization, privacy enhancing technologies, and artificial intelligence, and familiarity with ethical frameworks, data governance, and accountability.
• Familiarity with emerging technologies in the financial services industry.
• Strong analytic capabilities and written and oral communication skills.
• Exceptional interpersonal skills with proven experience in relationship building and partnering with legal, business, and technical colleagues.
• Familiarity with Privacy by Design methodologies.
• Strong writing skills and ability to simplify technical material for other audiences, including business teams, legal departments, and regulators.
• An ability to acquire a deep understanding of Mastercard products and services in the SSO space.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Atlanta, Georgia: $138,000 - $221,000 USD