Spring 2027: AI/Sharks Applied AI & Analytics Co-op (January to June)

SharkNinja•Needham, MA

3d•$27 - $36•Hybrid

About The Position

SharkNinja’s AI/Sharks co-op is a five-and-a-half-month immersive rotation from January through June 2027. Participants work on live business problems, build production-ready AI solutions, and contribute to initiatives supporting the company’s AI transformation strategy. From the first week, co-ops are embedded in projects with ownership of deliverables and direct collaboration with technical and business leaders. Co-ops partner with teams across the business to use AI and analytics to turn data into actionable insights and support better decision-making. The role is part of the company-wide Jailbreak AI initiative and offers exposure to real AI deployments and enterprise-scale innovation. Participants have access to tools including Claude Enterprise and a personal AWS sandbox, as well as mentorship, networking, professional development, and opportunities to engage with executives and AI founders. The program concludes with an AI/Sharks AI Certification tied to work shipped and its impact; top performers may have pathways to return offers or full-time opportunities. This is a full-time, 40-hour-per-week position requiring at least three days per week onsite in Needham, Massachusetts; Bay Harbor Islands, Miami, Florida; or the Flatiron District, New York, New York. Relocation and housing assistance are not provided. The hourly pay range is $27–$36, with starting pay influenced by factors including geography, skills, education, and experience.

Requirements

Currently enrolled in a bachelor’s or master’s program, or graduated within the past year.
Able to work full time, 40 hours per week, and onsite at least three days per week in Needham, MA; Miami, FL; or New York, NY.
Experience with data visualization tools such as Tableau, Power BI, Looker, or similar.
Working knowledge of SQL, Python, or similar tools through coursework or projects.
Demonstrated experience building with AI, such as LLMs, automation workflows, agent frameworks, or prompt engineering, with examples to discuss.
Experience working with real-world or messy datasets.
Ability to approach problems in a structured and logical way.
Strong communication skills and ability to deliver effective presentations to all levels of management.
Ability to develop strong cross-functional relationships.
Rigor in data preparation, model assumptions, and analytical outputs.

Nice To Haves

Interest in consumer products, retail, or e-commerce.

Responsibilities

Own the end-to-end scoping, analysis, and delivery of a defined business problem, from data gathering through communication of insights.
Design, iterate, and document AI prompts and workflows, and own data preparation pipelines for assigned projects.
Build and maintain dashboards, reports, or models used by internal teams, with accountability for quality and accuracy.
Identify trends, patterns, and insights in datasets and translate them into actionable recommendations.
Use AI tools to improve efficiency and automate analytical workflows.
Develop and test agentic workflow prototypes to reduce manual effort in high-friction business processes.
Present findings and recommendations to team leads and business stakeholders.
Identify data gaps or inconsistencies and propose solutions.