Talent Pool - Data Science (Engineer/Snr Engineer/Associate Technical Lead/ Technical Lead)

• Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems,

• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing,

• Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset,

• Work closely with data scientists and analysts to create and deploy new product features,

• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,

• Write efficient and well-organized software to ship products in an iterative, continual-release environment

• University or advanced degree in engineering, computer science, mathematics, statistics or a related field,

• for SE - 1-2 Years, for SSE 2-4 Years, ATL - 4-6 Years and for TL 6-8 years of experience in predictive modeling, data science and analysis including deploying and operating in production

• Previous experience in a ML or data scientist role and a track record of building ML or DL models

• Experience using ML libraries, such as scikit-learn, caret, mlr, mllib

• Experience working with GPUs to develop models

• Track record of diving into data to discover hidden patterns

• Familiarity with using data visualization tools

• Strong experience working with a variety of relational SQL and NoSQL databases,

• Strong experience working with big data tools: Apache Beam, Spark, Kafka, etc.

• Experience with at least one cloud provider solution (AWS, GCP, Azure),

• Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc,

• Ability to work in a Linux environment,

• Industry experience building innovative end-to-end Machine Learning systems,

• Ability to quickly prototype ideas and solve complex problems by adapting creative approaches,

• Strong knowledge of data pipeline and workflow management tools,

• Relevant working experience with Docker and Kubernetes is a big plus.

• Experience in warehouse and supply chain domain would be an added advantage

• US dollar-linked compensation

• 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

Sysco LABS is an Equal Opportunity Employer.

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. Everything we do at Sysco LABS supports Sysco's Purpose of "Connecting the world to share food and care for one another", and our work directly impacts millions of food consumers in a trillion-dollar, global industry. The Opportunity: We are currently building a talent pool for future Data Science opportunities across Engineer to Lead levels within our team. This is an opportunity to be considered for upcoming roles and contribute to shaping the future of Sysco's customer experience from the ground up.