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

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Typically 37 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 explicit documentation covering architecture, Data Science Model, agent logic, design decisions, and dependencies

📌 Data Scientist (Bengaluru)
🏢 Connectpro Management Consultants
📍 Bengaluru