Overview
Skills
Job Details
Position: Data Scientist - LP/MILP/IP
Location: CA (100% REMOTE)
Duration: 6+ months contract
Rate: $DOE/hr negotiable
Top main skill Client is looking for which is mandatory:
- Industrial industry PhD
- Simulation
- Montecarlo digital twin discreet simulation
- System Simulation
Job Description:
The Data Scientist will be responsible for leveraging mathematical optimization, simulation, AI/ML modeling to improve supply chain operations and decision-making processes.
This role involves utilizing mathematical modeling, statistical analysis, and data-driven insights to optimize inventory management, demand forecasting, network optimization, replenishment and logistics planning.
What You'll Do
- Design, develop, and implement OR (LP/MILP/IP) models and methodologies to solve complex supply chain problems.
- Collaborate with stakeholders to identify opportunities in supply chain and perform data analysis, gather relevant information to develop mathematical models, algorithms, and simulation tools.
- Apply optimization methods, statistical techniques, and AI/ML models to generate actionable insights.
- Develop and maintain decision support systems, dashboards, and reporting tools to facilitate data-driven decision-making.
- Collaborate with IT teams to integrate OR models and tools into existing systems and ensure their seamless implementation.
- Present research findings and insights to stakeholders, including senior management, in a clear and concise manner and collaborate with cross-functional teams to drive process improvements, optimize resource allocation, and enhance operational efficiency.
What You'll Bring
- Strong knowledge of mathematical modeling, optimization techniques, simulation methodologies, and AI/ML models.
- Proficiency in programming languages such as Python, R, Java, and experience with statistical analysis and data visualization tools.
- Expertise in applying OR techniques to complex business problems, preferably in a corporate or consulting environment.
Additonal Comments From The Hiring Manager
- Master's or Ph.D. in Operations Research, Industrial Engineering, Mathematics, or a related field.
- Proven track record of involving in cross-functional projects, delivering high-quality results within specified timeframes.
- Experience with database management systems, cloud computing, data mining, and ML algorithms is a plus.
MS/PHD degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.