2026 Data Science Student Experience at Doosan Corp

West Fargo, North Dakota, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

22.0

Posted On

08 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, TypeScript, SQL, NoSQL, ETL Pipelines, Data-Processing Libraries, REST Services, GraphQL Services, AWS Services, Attention To Detail, Team Player, Fast Learner, Excellent Interpersonal Skills, Self-Starter, Problem Solving

Industry

Machinery Manufacturing

Description

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers – and make the world a better place. Join our team today and start building your career with a worldwide leader. Location: West Fargo, ND Job Information You have the knowledge, now gain the experience! Bobcat’s student program is an opportunity created to empower young professionals, like you. Whether you’re looking for on the job experience, testing the waters in a desired career path, or hoping for a foot in the door with us, we have an experience designed specifically for you and your aspirations. As a Co-op or Intern you will be presented the tools to further your professional development, apply your schooling to real-world projects, and gain hands-on experience while completing your undergrad degree. Co-op: An 8-month long opportunity, Co-op positions are a full-time employment experience. Co-ops are fully immersed into the worlds of corporate and production industry as a full-time team member. Internship: A semester long opportunity, Internships positions are a part-time employment experience. With the opportunity to extend multiple semesters, Interns tap into the foundations of our corporate and production industries. Co-op and Intern opportunities span across 18 of Bobcat’s different functions. Role & Responsibility Agent Development – Generative AI Based Problem Solving & Task Automation User Need Analysis – Work with product managers to identify business pain points and translate them into functional specifications for an intelligent agent. LLM Powered Conversation Engine – Implement natural language understanding, intent detection, and dialogue management using large language models (OpenAI, Hugging Face, etc.). API Integration – Build and test REST/GraphQL endpoints that connect the agent to external data sources (CRM, ERP, public APIs). Testing & Debugging – Write unit and integration tests, and troubleshoot performance or correctness issues in the agent pipeline. Knowledge Base & RAG Based Knowledge Agent Development Knowledge Base Design – Design the schema and data model that will store the agent’s knowledge. Data Update Pipeline – Create automated pipelines to ingest, clean, and update documents, keeping the knowledge base current. RAG Research & Implementation – Explore Retrieval Augmented Generation techniques to improve answer accuracy, and implement a simple RAG pipeline that pulls context from the knowledge base. Vector Database Deployment – Deploy a vector search solution (FAISS, Pinecone, Milvus, etc.) to enable fast similarity search over embedded documents. Relevance Optimization Algorithms – Develop basic ranking/optimization logic to evaluate and improve the relevance of search results returned to users. Solution Deployment & Operations Cloud Deployment – Package the AI agent as a Docker container and deploy it to a cloud environment (AWS ECS/EKS, Lambda, or SageMaker). Monitoring & Incident Response – Set up basic metrics (latency, error rates) with CloudWatch or Prometheus and learn how to handle incidents. Continuous Improvement – Collect user feedback, analyze usage data, and iterate on the agent to enhance performance and user satisfaction. What You’ll Gain Hands on experience with cutting edge generative AI tools and retrieval augmented pipelines. Exposure to end to end AI product development: from requirement gathering to deployment and ops. Mentorship from data scientists, and DevOps specialists. A portfolio ready project that showcases your contribution to a real AI product. Job Requirement Freshman, Sophomore, Junior or Senior standing seeking a bachelor’s degree in Computer Science, Data Science, Engineering, etc. Familiarity in these areas is a plus Python and JavaScript/TypeScript SQL/NoSQL, ETL Pipelines and data-processing libraries (pandas, Spark) Building or consuming REST/GraphQL services AWS Services (Bedrock, S3, Lambda, SageMaker) or equivalent Be able to commit to Bobcat for the entire term of the co-op (8 months) or internship (4 months) Attention to detail Team player, fast learner, and adaptable to change Excellent interpersonal and communications skills is a must A self-starter and will dig into problems independently and will look for limited guidance Ability to follow written instructions #WayUpOthers Student Benefits: Competitive pay Gain experience on real-life projects Work directly with skilled professionals at a global company Attend student specific events tied to personal and professional development and full-time careers, as well as networking opportunities Opportunity to give back through organized Company-sponsored community service events First access to full-time career opportunities Tuition reimbursement for co-op/internship related courses up to $1,400 for a 3-credit course Safety boots and safety glasses reimbursements Relocation reimbursements House-hunting or interview travel reimbursements Monthly $250 stipend As a part of the Doosan Group, which employs more than 43,000 people in 38 countries worldwide, the company offers its customers products and solutions to help build stronger businesses and communities. Based in Seoul, South Korea, with its North America headquarters in West Fargo, North Dakota, Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping and grounds maintenance equipment, attachments and services. The company is committed to empowering people to accomplish more. Doosan is an Equal Opportunity Employer, including Individuals with Disabilities and Protected Veterans. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263. Beware of Fraudulent Job Offers and Solicitations Any legitimate job offer will be preceded by an official selection process. Pay Transparency: $22.00 - $23.00 per hour

Responsibilities

The role involves developing generative AI solutions, including user need analysis, implementing conversation engines, and deploying solutions in cloud environments. Interns and co-ops will gain hands-on experience with AI tools and contribute to real-world projects.