Resource Informatics Group
Lead Data Scientist
Resource Informatics Group, Houston, Texas, United States, 77246
Lead Data ScientistLocation: Houston, TexasDuration: 6+ months
We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.Responsibilities include :
Work independently on optimization projects for multiple business functionsIdentify and frame the optimization opportunity from understanding the business problem / opportunityGather, cleanse, and transform internal and external dataAnalyze data and deliver insights via visualizations and dashboardsCreate, productionize, and maintain models / solutions that address business problemsPresent, explain and defend results from analysis and modeling, and approach takenParticipate in strategic planning discussions around optimizations, data science and big data analyticsThe successful candidate will meet the following qualifications:
10+ years of practical experience framing and solving optimization problems in supply chain, logistics, or operations5+ years of hands on experience with applied statistics / math and optimization techniquesProfessional experience with optimization techniques such as numerical optimization, linear programming, nonlinear programming, dynamic programming, integer programming, numerical methods, or heuristic methodsProfessional experience programming in PythonExperience using tools such as Google OR Tools, Scipy.Optimize, CPLEX, Gurobi, GAMS, LINGO, Pyomo, MATLAB, Arena, Vensim on real-world problemsExperience building solutions in AWS is a plusEducational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plusAbility to adapt in a rapidly changing environmentAbility to communicate insights and approaches in a simple, actionable mannerAbility to work independently and with team members from different backgroundsExcellent attention to detail and problem-solving skills.
We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.Responsibilities include :
Work independently on optimization projects for multiple business functionsIdentify and frame the optimization opportunity from understanding the business problem / opportunityGather, cleanse, and transform internal and external dataAnalyze data and deliver insights via visualizations and dashboardsCreate, productionize, and maintain models / solutions that address business problemsPresent, explain and defend results from analysis and modeling, and approach takenParticipate in strategic planning discussions around optimizations, data science and big data analyticsThe successful candidate will meet the following qualifications:
10+ years of practical experience framing and solving optimization problems in supply chain, logistics, or operations5+ years of hands on experience with applied statistics / math and optimization techniquesProfessional experience with optimization techniques such as numerical optimization, linear programming, nonlinear programming, dynamic programming, integer programming, numerical methods, or heuristic methodsProfessional experience programming in PythonExperience using tools such as Google OR Tools, Scipy.Optimize, CPLEX, Gurobi, GAMS, LINGO, Pyomo, MATLAB, Arena, Vensim on real-world problemsExperience building solutions in AWS is a plusEducational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plusAbility to adapt in a rapidly changing environmentAbility to communicate insights and approaches in a simple, actionable mannerAbility to work independently and with team members from different backgroundsExcellent attention to detail and problem-solving skills.