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Fall Computer Science Internships Jobs in Kennesaw, GA

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

... internships, research, senior projects, or meaningful independent projects. * Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

... internships, research, senior projects, or meaningful independent projects. * Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

... internships, research, senior projects, or meaningful independent projects. * Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... internships, research, senior projects, or meaningful independent projects. * Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another ...

Dhalite Inc.

Entry-Level Business Analyst

Atlanta, GA · On-site

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0-2 years of experience or relevant internship in ...

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Fall Computer Science Internships information

What are the key skills and qualifications needed to thrive in Fall Computer Science internships, and why are they important?

To thrive in Fall Computer Science Internships, you typically need a solid understanding of programming fundamentals, data structures, algorithms, and current enrollment in a computer science or related degree program. Familiarity with coding languages like Python, Java, or C++, and experience with collaborative tools like Git or project management systems are often expected. Strong problem-solving abilities, effective communication, and the ability to work well in teams help interns stand out. These skills and qualifications enable interns to contribute meaningfully to projects and maximize learning in a professional tech environment.

What are Fall Computer Science Internships?

Fall Computer Science Internships are temporary positions offered by companies, organizations, or academic institutions to students or recent graduates during the fall semester. These internships provide hands-on experience in software development, programming, data analysis, or related computer science fields. Interns typically work on real-world projects under the guidance of experienced professionals, gaining valuable technical skills and industry exposure. Fall internships can enhance your resume, expand your professional network, and sometimes lead to full-time job offers after graduation.

What types of projects do Fall Computer Science interns typically work on, and how is mentorship structured?

Fall Computer Science Interns commonly work on real-world projects that align with the company's ongoing initiatives, such as developing new software features, debugging existing applications, or contributing to team-based research. Mentorship is usually provided through a designated supervisor or a buddy system, offering regular check-ins, code reviews, and guidance on both technical and professional growth. Interns are encouraged to collaborate closely with other engineers, attend team meetings, and actively participate in brainstorming sessions, which helps them build valuable skills and expand their professional network.
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Fall Computer Science Internships jobs near you

Data Scientist

Revenue Analytics

Atlanta, GA • On-site

$95 - $110/hr

Other

Re-posted 18 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands‑on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade‑offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision‑support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year

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