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

Join Sysco LABS in Sri Lanka as a Data Science Engineer, Senior Engineer, Associate Technical Lead, or Technical Lead. Contribute to shaping the future of Sysco's customer experience by building, maintaining, and improving algorithms and systems. Utilize your entrepreneurial spirit to identify new opportunities and prototype solutions to demonstrate value.

Requirements

• University or advanced degree in engineering, computer science, mathematics, statistics or a related field
• 1-2 years of experience in predictive modeling, data science and analysis (SE)
• 2-4 years of experience in predictive modeling, data science and analysis (SSE)
• 4-6 years of experience in predictive modeling, data science and analysis (ATL)
• 6-8 years of experience in predictive modeling, data science and analysis (TL)
• 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

Benefits

• 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