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Sysco

Supplies food and kitchen goods to restaurants

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeSri Lanka

About the Job

Requirements

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

Responsibilities

  • Extract, transform, and analyze large-scale structured and unstructured datasets using Python, SQL, and cloud-based technologies.
  • Perform exploratory data analysis, 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, prompt engineering, Retrieval-Augmented Generation, 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.

About the Company

Sysco

Supplies food and kitchen goods to restaurants

Sysco buys, stores and delivers food, kitchen supplies and equipment to restaurants, hospitals, schools, hotels and other businesses that cook away from home. Alongside national brands, it sells its own Sysco Brand line of foods and supplies, which fills a large share of the cases it ships. Its biggest product groups are fresh and frozen meats, canned and dry goods, and frozen produce and baked goods. Customers order through Sysco sales representatives or online, and Sysco delivers from distribution centers across North America and Europe, earning money on the difference between what it pays suppliers and what customers pay for delivered goods. Sysco was founded in 1969, began public operations in 1970 and is based in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1969

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