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# Data Scientist

- **Company:** Sysco Corporation
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Software Quality, Computer Programming, Continuous Integration, Data Cleansing, Document-Oriented Databases, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Software Construction, SQL Databases, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Keras, Agentic-AI, Git, Pandas, Pyspark, Scikit Learn, Information Technology, Xgboost, Integration Frameworks, Machine Learning Operations, Software Version Control
- **Published:** October 14, 2026
- **Apply:** https://wd5.myworkdaysite.com/recruiting/sysco/syscocareers/job/Sysco-LABS-----Sri-Lanka/Data-Scientist_R270252

## About the Role

* Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
 * Strong programming skills in Python and SQL.
 * Hands-on experience with data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow/Keras, PyTorch, or similar.
 * Solid understanding of Machine Learning algorithms, statistics, feature engineering, model evaluation, and experimentation methodologies.
 * Experience working with time-series forecasting, predictive analytics, classification models, and imbalanced datasets.
 * Familiarity with data processing frameworks such as Spark or PySpark.
 * Understanding of MLOps concepts, CI/CD pipelines, Git, APIs, and model deployment practices.
 * Experience working with cloud platforms such as AWS, GCP, or Azure.
 * Knowledge of Generative AI concepts, including LLMs, RAG architectures, embeddings, prompt engineering, and AI agents.

## Description

* Extract, transform, and analyze large-scale structured and unstructured datasets using Python, SQL, and cloud-based technologies.
 * Perform exploratory data analysis (EDA), data preprocessing, feature engineering, and model development to address business challenges.
 * Develop, evaluate, optimize, and deploy machine learning models, including predictive, classification, and forecasting solutions.
 * Build and maintain scalable data and machine learning pipelines for production environments.
 * Develop AI-powered solutions using Generative AI technologies, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and Agentic AI concepts.
 * Monitor model performance, conduct model validation, and implement continuous improvement initiatives to ensure accuracy and reliability.
 * Apply statistical analysis and experimentation techniques to identify insights and support data-driven decision-making.
 * Translate analytical findings and model outputs into actionable business recommendations.
 * Collaborate with Product Owners, Business Stakeholders, Data Engineers, and other cross functional teams to deliver impactful solutions.
 * Document data science methodologies, model assumptions, and technical approaches to support knowledge sharing and governance.
 * Follow software engineering best practices, including version control, testing, and code quality standards.