Data Science Student Experience - Spring 2027

Doosan Group • West Fargo, ND

9d • Onsite

About The Position

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. 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.

Requirements

• 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

Responsibilities

• 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.

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
• medical
• dental
• vision
• prescription
• 401(k) match
• short & long term disability
• health & flexible spending accounts
• employee assistance program
• life & AD&D insurance
• military and jury duty differential pay
• tuition reimbursement program
• work flex policy
• equipment rental program
• paid volunteer opportunities
• community non-profit donation match
• paid vacation
• holiday
• sick
• bereavement
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed