Data Scientist

Posted 17 Days Ago
Be an Early Applicant
Hiring Remotely in Sri Lanka
Remote
Entry level
Food • Logistics
The Role
Develops and deploys machine learning and generative AI solutions using Python, SQL, cloud technologies, and data science frameworks. Responsibilities include data extraction, preprocessing, feature engineering, forecasting, classification, model validation, MLOps pipeline development, experimentation, and performance monitoring. The role also involves LLM, RAG, embeddings, prompt engineering, and AI agent development, while collaborating with cross-functional teams to deliver actionable business insights.
Summary Generated by Built In
JOB DESCRIPTION

Data Scientist

 

The Big Picture


Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.   


Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.   


Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations.   


Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer. 


The Opportunity


We are currently on the lookout for Data Scientists to join our team.


Responsibilities:


  • 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.

Requirements:

 

  • 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.

Benefits

 

  • Performance-based annual bonus 
  • Performance rewards and recognition 
  • Agile Benefits - special allowances for Health, Wellness & Academic purposes 
  • Paid birthday leave Team engagement allowance 
  • Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws 
  • Hybrid work arrangement 


Sysco LABS is an Equal Opportunity Employer. 

Skills Required

  • 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, or PyTorch
  • Understanding of machine learning algorithms, statistics, feature engineering, model evaluation, and experimentation methodologies
  • Experience with time-series forecasting, predictive analytics, classification models, and imbalanced datasets
  • Familiarity with Spark or PySpark
  • Understanding of MLOps, CI/CD pipelines, Git, APIs, and model deployment practices
  • Experience with AWS, GCP, or Azure
  • Knowledge of Generative AI, LLMs, RAG architectures, embeddings, prompt engineering, and AI agents

Sysco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sysco and has not been reviewed or approved by Sysco.

  • Healthcare Strength — Multiple national medical plan options with telehealth, behavioral health resources, and targeted programs indicate broad coverage and support. Preventive care access and ancillary offerings (dental, vision, Rx advocacy) further reinforce the package.
  • Retirement Support — A 401(k) with automatic company contributions plus a match, alongside an employee stock purchase plan, underscores solid retirement support. At union locations, enhanced pension terms add to perceived long‑term value.
  • Pay Growth & Progression — Recent collective bargaining outcomes with substantial wage increases demonstrate meaningful pay progression where contracts apply. In high‑volume markets, incentive structures can amplify earnings beyond base rates.

Sysco Insights

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The Company
HQ: Houston, TX
24,120 Employees

What We Do

Sysco is the global leader in selling, marketing and distributing food and related products to customers who prepare meals away from home. This includes restaurants, healthcare and educational facilities, lodging establishments, entertainment venues, and more. Sysco operates almost 340 distribution centers, in over 10 countries, with 76,000 colleagues serving approximately 730,000 customer locations. The company generated sales of more than $81 billion in fiscal year 2025 that ended June 28, 2025. As the world’s largest food-away-from-home distributor, Sysco offers customized supply chain solutions, bespoke specialty product offerings, and culinary support to drive customers to innovate and optimize their operations. We act as a trusted business partner to our customers, helping them grow through our industry-leading portfolio that includes fresh produce, premium proteins, specialty products, sustainably focused items, equipment and supplies, and innovative culinary solutions. For more information, visit www.sysco.com. For important news and key information for Sysco investors, visit the Investor Relations section of the company’s website at investors.sysco.com.

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