Data Scientist Job at JPS Tech Solutions LLC, Omaha, NE

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  • JPS Tech Solutions LLC
  • Omaha, NE

Job Description

Job Title: Data Scientist
Location: Omaha, Nebraska
Experience Required: 12+ Years

Key Responsibilities
  • Refactor and enhance existing optimization algorithms written in Python using object-oriented programming principles.

  • Apply advanced data science techniques to solve business problems in supply chain optimization and retail/CPG inventory planning.

  • Analyze large and complex datasets using statistical methods and machine learning models to generate insights for replenishment and inventory allocation.

  • Develop, deploy, and maintain predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource utilization.

  • Collaborate with cross-functional teams to translate business requirements into scalable, data-driven solutions.

  • Design and execute experiments to assess the effectiveness of replenishment strategies and allocation policies.

  • Monitor key supply chain performance metrics, evaluate model performance, and make recommendations for continuous improvement.

  • Stay updated on industry trends, tools, and best practices in data science, optimization, and supply chain management.

  • Mentor and collaborate with other data scientists to promote knowledge sharing and skill development.

Qualifications
  • Minimum 12+ years of professional experience as a Data Scientist, ideally within supply chain optimization or inventory allocation.

  • Master's or Ph.D. in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related discipline.

  • Strong understanding of statistical modeling, predictive analytics, and mathematical optimization techniques.

  • Proficiency in Python, PySpark, and SQL, with hands-on experience using data analysis and machine learning libraries.

Preferred Skills
  • Experience with mathematical optimization solvers such as Gurobi, CPLEX, Xpress MP, or Google OR-Tools.

  • Proven ability to apply mathematical and analytical models to real-world business scenarios.

  • Strong communication and presentation skills, capable of explaining complex concepts to business stakeholders.

  • Experience working with retail or CPG supply chain systems is highly desirable.

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