THE BIG PICTURE
Sysco LABS is the captive innovation arm of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco is a Fortune 500 company and the global leader in selling, marketing, and distributing food products to restaurants, healthcare, and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 76,000 colleagues, the company operates 334 distribution facilities worldwide and serves approximately 730,000 customer locations. For fiscal year 2024 that ended July 1, 2024, the company generated sales of more than $78.8 billion.
Operating with the agility and tenacity of a tech–startup, powered by the expertise of the industry leader, Sysco LABS is perfectly poised to transform one of the world’s largest industries.
Sysco LABS’s engineering teams based out of Colombo, Sri Lanka and Austin and Houston, TX, innovate across the entire food service journey – from the enterprise grade technology that enables Sysco’s business, to the technology that revolutionizes the way that Sysco connects with restaurants and the technology that shapes the way those restaurants connect with customers.
Sysco LABS technology is present in 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, the in-restaurant dining experience of the end-customer and much more.
THE OPPORTUNITY
We are currently on the lookout for Data Scientists (Engineer Level) to join our team.
RESPONSIBILITIES
Performing data cleaning, transformations, and exploratory data analysis (EDA) using tools like Pandas, NumPy, and SQL.
Applying machine learning algorithms and statistical techniques to solve problems, using Scikit-learn, TensorFlow, and PyTorch
Designing and deploying AI & Gen AI-powered applications using cloud services like AWS SageMaker and GCP Vertex AI
Implementing and deploying ML models and understanding MLOps concepts with tools like Docker, and Jenkins
Creating insightful visualizations and presenting findings to stakeholders using tools like Power BI, Tableau, and Matplotlib
Collaborating with product and engineering teams to integrate models into applications using Python, FastAPI, or Flask
Understanding and working with big data tools like Hadoop, Spark, and Databricks to handle large datasets
Operating within Agile frameworks (Scrum, Kanban) and managing code versions using Git/GitHub for smooth collaboration
REQUIREMENTS
A Bachelor’s Degree in Computer Science, Mathematics, or related fields
Proficiency in programming languages like R or Python and database querying languages like SQL
Strong knowledge of machine learning, data mining, and statistical modeling
A strong understanding of MLOps/Automation of the Data Science Lifecycle
A good understanding of Software Engineering Best Practices
BENEFITS
US dollar-linked compensation
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
Overseas travel opportunities and exposure to client environments
Hybrid work arrangement
