Employer Industry: Food Manufacturing
Why Consider This Job Opportunity
- Salary up to $181,700 annually
- Opportunity for career advancement and growth within the organization
- Flexible remote work options available within the United States
- Comprehensive Total Rewards package focusing on overall well-being, including health benefits and retirement plans
- Engage in a collaborative environment with cross-functional teams to drive data-driven insights
- Participate in an annual incentive program based on individual and organizational performance
What To Expect (Job Responsibilities)
- Collaborate with data science leadership and product owners to develop optimization and machine learning models using advanced tools
- Provide actionable insights and strategic recommendations to product teams
- Construct scalable optimization, simulation, and machine learning models for real-time insights
- Design frameworks for advanced machine learning and optimization to address complex supply chain issues
- Communicate data-driven recommendations effectively to cross-functional teams
What Is Required (Qualifications)
- Minimum of 4 years of relevant data science experience, including at least 2 years in optimization
- Bachelor’s Degree in quantitative fields such as operations, research/statistics, or industrial engineering
- High proficiency in Python for developing optimization models with commercial solver suites
- Experience building IP/MIP models and writing complex SQL queries
- Strong problem-solving skills, adaptability, and ability to work independently
How To Stand Out (Preferred Qualifications)
- Master’s degree in quantitative fields or computer science with relevant experience in supply chain technology or data science
- Experience in supply chain optimization or operations research
- Familiarity with Google Cloud Platform or other cloud services
- Background in building optimization and simulation models in logistics operations using commercial solver engines like Gurobi
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