Data Scientist

About the Company:

Accelerating the digital sustainable supply chain, Logility helps companies seize new opportunities, sense and respond to changing market dynamics, and more profitably manage their complex global businesses. The Logility® Digital Supply Chain Platform leverages an innovative blend of artificial intelligence (AI) and advanced analytics to automate planning, accelerate cycle times, increase precision, improve operating performance, break down business silos and deliver greater visibility. Logility's SaaS-based platform transforms sales and operations planning (SandOP) and integrated business planning (IBP) processes; demand, inventory, and replenishment planning; global sourcing; quality and compliance management; product life cycle management; supply and inventory optimization; manufacturing planning and scheduling; retail merchandise planning, assortment, and allocation. Logility clients include Big Lots, Husqvarna Group, Parker Hannifin, Sonoco Products, and Red Wing Shoe Company. Logility is a wholly-owned subsidiary of American Software, Inc. (NASDAQ: AMSWA). To learn how Logility can help you make smarter decisions faster, visitwww.logility.com.

Responsibilities:

The Data Scientist will be responsible for researching technologies, methodologies, and approaches to find innovative solutions to solve supply chain problems. They will need to developprototype solutions for non-routine, complicated, and demanding supply chain problems while collaborating with internal and external stakeholders for research discovery. This role will also require the Data Scientist to gather and process large and complex data sets and apply advanced analytical methods using statistics, machine learning, optimization, and simulation knowledge. They will need to program the theoretical approaches into practical prototypes and build the pipelines that can easily be fed into technical design. Communicating ideas and findings with effective presentations to stakeholders through visual displays of quantitative information will be very important.

Requirements

• Minimum of 5 years' experience working collaboratively using data science (including statistics, machine learning, optimization) or simulation to solve real-world supply chain problems
• Master's degree in Operations Research, Data Science, Statistics, Computer Science or related

• Expert programming skills in at least 1 language such as python
• Experience using end to end ML pipelines
• Experience using Version Control, Jira
• SQL Skills

Additional skills needed:

• Knowledge of models for solutions to supply chain problems including - forecasting, inventory planning, supply planning, etc.
• Skills doing market analysis
• Analytics experience
• Experience building dashboards with Power BI, Tableau or similar tools