Data Scientist

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  
• 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.