Data Scientist

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