Consultant, Operations Research and Data Science

Key Skills

Microsoft-Excel, Java Programming, Design, Python Programming, SQL, Data science techniques, Bayesian networks, Tableau, R Programming, SAS

Job Description

Operations Research and Data Science is responsible for performing analysis and quantitative modeling to support supply chain resource planning decisions.

Accountabilities

• Consult corporate and field management teams to enable better decision making.
• Perform analyses and quantitative modeling to support strategic, tactical, and operational decisions in the following areas:
• Distribution Center Network design: including number, role, and size of facilities for Pharmaceutical product distribution
• Distribution Center Processes and Facility Layout
• Transportation alternatives for product movements: into Cardinal DCs; between replenishment centers and customer facing DCs; and outbound to customers
• Inventory management stocking strategies by product, facility, and customer class
• Operations Excellence Support: Support Black Belt and Green Belt projects
• Other projects where trade-offs need to be made between objectives in facility, transportation, inventory, and sales groups
• Listen to clients and quickly understand complex problems. Identify key components that should drive decision making.
• Model and quantify the financial and operational impact of various alternatives on key components. Use 3rd party optimization/simulation software or develop tools in house if needed.
• Communicate complex analytical results to clients so they comprehend and accept findings and recommendations.

Qualifications

• Bachelor’s Degree in related field preferred, or equivalent work experience; advanced degree preferred
• 4+ years experience in related field preferred
• Demonstrated ability to apply Operations Research/Decision Science/Data Science or other analytical techniques in the areas of logistics and supply chain management
• Computer skills including data analysis with tools such as R, Python, SQL, Tableau, SAS, MS Access, MS Excel and other data warehouse software
• Experience with Strategic Network Design, Transportation Optimization, Simulation, or Mathematical Programming (e.g. CPLEX) software preferred
• Proven ability to work as part of a team as the key analytical resource
• Good communication skills required for problem definition and review of results
• Advanced Degree in related field preferred
• 5% Travel

What is expected of you and others at this level

• Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
• May contribute to the development of policies and procedures
• Works on complex projects of large scope
• Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
• Completes work independently; receives general guidance on new projects
• Work reviewed for purpose of meeting objectives
• May act as a mentor to less experienced colleagues