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Amazon Data Science Internship Jobs in Rochester, NY

MegazoneCloud Global

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... data, application, and operations -- owning the outcome end to end. • Design, build, and deploy ... configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles ...

MegazoneCloud

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

... data, application, and operations - owning the outcome end to end. • Design, build, and deploy ... configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles ...

onsemi

Junior Product Engineer

Livonia, NY · On-site

Internship, research, or project experience in the semiconductor or electronics industry ... Experience with data analysis tools such as Excel, JMP, Minitab * Understanding of reliability ...

Paychex

Oracle DBA I

Rochester, NY · On-site +1

$76K - $120K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... Bachelor's Degree in Computer Science or equivalent work experience * 4 years of experience in ...

University of Rochester

Clinical Dietitian

Rochester, NY · On-site

$30 - $40.50/hr

... data, education, experience, qualifications, expertise of the individual, and internal equity ... Participate in the training of medical staff, dietetic interns and peers. Does so in a manner which ...

Unifin SAS

Validation Specialist

Rochester, NY · On-site

... data using appropriate statistical and scientific methods to assess process capability and ... Internship or co-op experience in a regulated environment is preferred. Knowledge, Skills, and ...

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Amazon Data Science Internship information

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How much do amazon data science internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for amazon data science internship in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

How hard is it to get into an Amazon Data Science Internship?

Getting into an Amazon Data Science Internship is competitive, often requiring strong academic performance, relevant technical skills in programming and statistics, and prior experience with data analysis or machine learning. Candidates typically need to demonstrate proficiency in tools like Python or R and have a solid understanding of data-driven problem solving.

What are the most commonly searched types of Amazon Data Science jobs in Rochester, NY?

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For Amazon Data Science Internship jobs in Rochester, NY, the most frequently searched job titles are:

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Cities near Rochester, NY with the most Amazon Data Science Internship job openings:

Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.

Sr. AI FDE

MegazoneCloud Global

Rochester, NY • On-site

$54.50 - $70.25/hr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
MegazoneCloud Global helps innovative companies adopt AI that delivers real results. As a Senior AI Forward Deployed Engineer, you will work directly with global clients to implement AI solutions, ensuring successful integration and adoption of advanced AI platforms and tools.
Responsibilities:
• Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations — owning the outcome end to end.
• Design, build, and deploy LLM-powered applications — including RAG pipelines, agentic workflows, and orchestration frameworks — integrated with client data stores, APIs, and security controls.
• Stand up the AWS and Google Cloud environments needed for AI services — enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup.
• Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
• Lead adoption and change management — build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
• Define and instrument success — adoption, business impact, and ROI metrics — and iterate post-launch until targets are met.
• Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer.
• Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements.
• Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline.
• Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.
• Serve as an escalation point during go-live and hyper-care.
• Support pursuit teams with solution diagrams, scoping, and engagement estimation.
• Present technical vision and adoption strategy to C-suite and enterprise architects.
• Publish blog posts, white papers, and internal knowledge articles.
Qualifications:
Required:
• 8–10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform — AWS or Google Cloud preferred (Azure a plus).
• Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) — prompt engineering, RAG, and agentic systems.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
• Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
• Proven client-facing communication skills — able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
• Experience mentoring engineers.
• Strong grasp of DevSecOps, SRE, and FinOps principles.
• Experience architecting data platforms and integrating AI/ML services.
• Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud — self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
• Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
• Experience leading technology-adoption or developer-enablement programs is a strong plus.
• Bachelor’s degree in Computer Science or similar.
• Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus.
Company:
MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital transformation catalyst, revolutionizing how enterprises harness cloud technology. Founded in 1998, the company is headquartered in Gwacheon-si, Gyeonggi-do, KR, , with a team of 1001-5000 employees. The company is currently Late Stage.

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