About the role

Role Overview

Koch Industries is seeking a Data Scientist with 3-6 years of experience to design, build, and deploy autonomous AI solutions that drive transformation across industrial operations, commercial.

This role focuses on delivering production-grade, scalable DS solutions using AWS, AWS Bedrock, and the Databricks Lakehouse, integrated with enterprise platforms. The emphasis is on measurable business impact, operational reliability, and governance-ready AI deployments

Key Skills

Strong programming skills in Python or R
Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch)
Knowledge of SQL and data querying
Experience with data analysis libraries (Pandas, NumPy)
Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau, Power BI)

· Proven experience deploying and optimizing Foundation Models (FMs) using AWS Bedrock, including Bedrock AgentCore for agent orchestration and tool execution

· Hands-on experience implementing Retrieval-Augmented Generation (RAG) patterns using Amazon OpenSearch or Amazon Kendra

· Demonstrated ability to build LLM-powered, agent-driven applications from use-case definition through production deployment on AWS

· Strong understanding of agentic AI concepts, including planning, reasoning, tool use, memory, and multi-agent collaboration

Analytical Skills

Strong understanding of statistics and probability
Experience with predictive modeling and hypothesis testing
Ability to interpret complex data and derive insights

Data Engineering Awareness

Familiarity with big data tools such as Spark, Hadoop, or distributed data platforms
Understanding of data pipelines and ETL processes

Good to have skills

Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of MLOps and model lifecycle management
Experience working with large-scale data platforms
Experience with feature stores or model monitoring tools

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Typically 3–7 years of experience in data science, machine learning, or advanced analytics roles
Demonstrated experience delivering data-driven solutions in production environments.

· Design and implement autonomous AI agents using LLMs, planning algorithms, and decision-making frameworks

· Integrate AI agents into enterprise applications, APIs, and workflows (e.g., copilots, chatbots, automation pipelines)

· Deploy and optimize Foundation Models (FMs) using AWS Bedrock, including prompt orchestration and guardrails

· Implement RAG architectures using Amazon OpenSearch or Kendra for enterprise knowledge access

· Optimize agent behavior using feedback loops, reinforcement learning concepts, and user interaction signals

· Maintain clear documentation covering architecture, Data Science Model, agent logic, design decisions, and dependencies