Jupiter Group - Houston, TX

posted 4 days ago

Full-time - Mid Level
Houston, TX
Professional, Scientific, and Technical Services

About the position

The Data Scientist will be a key member of the Big Data and Advanced Analytics department, focusing on solving complex problems in the oil and gas midstream sector using machine learning and data science techniques. This role involves collaboration with the Data Engineering team and various business functions to optimize operations through data-driven insights.

Responsibilities

  • Work independently on optimization projects for multiple business functions
  • Identify and frame the optimization opportunity from understanding the business problem / opportunity
  • Gather, cleanse, and transform internal and external data
  • Analyze data and deliver insights via visualizations and dashboards
  • Create, productionize, and maintain models / solutions that address business problems
  • Present, explain and defend results from analysis and modeling, and approach taken
  • Participate in strategic planning discussions around optimizations, data science and big data analytics

Requirements

  • Practical experience framing and solving optimization problems in supply chain, logistics, or operations
  • 1+ years of hands on experience with applied statistics / math and optimization techniques
  • Professional experience with optimization techniques such as numerical optimization, linear programming, nonlinear programming, dynamic programming, integer programming, numerical methods, or heuristic methods
  • Professional experience programming in Python
  • Experience using tools such as Google OR Tools, Scipy.Optimize, CPLEX, Gurobi, GAMS, LINGO, Pyomo, MATLAB, Arena, Vensim on real-world problems

Nice-to-haves

  • Experience building solutions in AWS
  • Educational background in Operations Research, Applied Mathematics, or Industrial Engineering
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