24 Associate Data Scientist Marketing jobs in Atlanta United States

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Location

Atlanta, GA

Department Information

About Tech AI

Tech AI is Georgia Tech's mission-ready AI accelerator and solutions engineering organization, operating under the Office of the Executive Vice President for Research (EVPR). As Georgia Tech's front door for external AI engagement, Tech AI connects the Institute's world-class AI research ecosystem with the needs of industry, government, and society. Through a disciplined Technology Readiness Level (TRL) acceleration model, Tech AI advances innovations from research concepts to validated, pilot-tested, and operationally deployed solutions.

Job Summary

Tech AI at the Georgia Institute of Technology is seeking a highly accomplished Research Scientist with a PhD in Artificial Intelligence, Computer Science, or a related field and at least 10 years of applied industry experience. This role is ideal for a collaborative problem solver who enjoys developing cutting-edge AI solutions, working across diverse sectors, and translating innovative research into real-world impact.

As a Research Scientist on the Tech AI team, you will sit at the intersection of applied research and real-world delivery. You will play a major role in the development and application of advanced AI and machine learning methods to address high-impact challenges across sectors such as advanced manufacturing, supply chain and logistics, operations, financial services, healthcare, energy, and national security. Working closely with Research Software Engineers (RSEs), faculty, students, industry partners, and government stakeholders, you will help transform promising research into robust, scalable, production-ready systems.

Beyond technical leadership, you will contribute to sponsored research initiatives, competitive grant proposals, business development efforts, and strategic partnerships that expand Georgia Tech's AI impact. You will engage clients and collaborators, communicate complex concepts to both technical and non-technical audiences, and help shape the future pipeline of AI opportunities. This position is ideal for a scientist who is equally energized by advancing state-of-the-art AI research and seeing that work successfully deployed to solve meaningful real-world problems.

Joining Tech AI offers a unique opportunity to help fulfill Georgia Tech's vision of advancing trustworthy, human-centered AI while accelerating the translation of discovery into deployed solutions that create measurable impact for industry, government, and society.

Responsibilities

Apply advanced AI/ML methods to real world challenges in multiple industries

Conduct assessments, develop solution concepts, and support implementation planning

Contribute to proposal writing, including technical narratives and research framing

Deliver public presentations and workshops

Translate complex technical ideas into accessible insights for varied audiences

Work with Research Software Engineers to ensure translation of research into production ready solutions

Required Qualifications

This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook (https://www.policylibrary.gatech.edu/faculty-handbook/3.2.1-research-faculty-hiring-and-promotion-guidelines)

Research Scientist I

Bachelor's Degree in Computer Science, Machine Learning, or a related discipline

Research Scientist II

A Master's degree in Computer Science, Machine Learning, or a related discipline and three (3) years of relevant full-time experience after completion of that degree, or

A Master's degree in Computer Science, Machine Learning, or a related discipline and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or

A Doctoral degree in Computer Science, Machine Learning, or a related discipline

Senior Research Scientist

A Master's degree in Computer Science, Machine Learning, or a related discipline and seven (7) years of relevant full-time experience after completion of that degree, or

A Master's degree in Computer Science, Machine Learning, or a related discipline and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or

A Doctoral degree in Computer Science, Machine Learning, or a related discipline, and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

Preferred Qualifications

PhD in AI, Computer Science, Machine Learning, or a related discipline

PhD in AI, Computer Science, Machine Learning, or a related discipline

10+ years of hands on experience applying AI/ML in industry settings

Background in solutions development or consulting services within at least two of the following: manufacturing, supply chain, operations, financial services, healthcare

Demonstrated experience writing successful grant proposals, technical proposals, and business cases to secure funding for complex technology initiatives.

Strong public speaking and communication skills

Proficiency with modern AI/ML frameworks and cloud environments

Experience with generative AI or advanced deep learning architecturesAbility to listen closely to clients and identify the core problems behind their needs

Ability to work effectively with multidisciplinary teams

Evidence of technical leadership through publications, patents, open-source contributions, industry presentations, or other recognized professional accomplishments.

Proposed Salary

The offered salary commensurate with education and experience.

Contact Information

For inquiries, contact Stephen Rosner at srosner6@gatech.edu

USG Core Values

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

Background Check

A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest