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 a Data Scientist to join our team.
RESPONSIBILITIES
Designing and developing large data processing solutions for one of the world's largest corporations involved in the marketing and distribution of food products
Identifying necessary data elements and their sources, leveraging appropriate tools to acquire and consolidate large volumes of data from different internal and external sources, and identifying and resolving any irrelevant, corrupt, missing, or incongruent data
Identifying and using appropriate advanced analytic tools, technologies and platforms to execute analysis against business requirements, including the ability to scale, deploy and distribute models across the enterprise as needed
Developing performance scorecards and dashboards to monitor the adoption, implementation, and impact of models and strategies
Working collaboratively in a cross-functional team in an Agile delivery environment
REQUIREMENTS
A Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Neuroscience or another technical field with a focus on quantitative research
Experience in accessing and manipulating data in SQL or NoSQL database environments
Knowledge of scientific scripting languages (e.g., Python) and/or object-oriented or programming (e.g., C++, Java)
In depth understanding of Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required
Excellent communication and leadership skills
Familiarity with working in a Scrum Agile delivery environment
BENEFITS
US dollar-linked compensation
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes
Entertainment allowance
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
