What are the responsibilities and job description for the Data Science Specialist III position at Steneral Consulting?
5 days onsite Houston, TX – downtown - 7:30am-5pm | **Fridays are half days** (totaling 40 hrs./week)
Must be local
Need valid LinkedIn
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 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
The Successful Candidate Will Meet The Following Qualifications
5 years of practical experience framing and solving optimization problems in supply chain, logistics, or operations
5 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
Experience building solutions in AWS is a plus
Educational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plus
Ability to adapt in a rapidly changing environment
Ability to communicate insights and approaches in a simple, actionable manner
Ability to work independently and with team members from different backgrounds
Excellent attention to detail and problem-solving skills
Must be local
Need valid LinkedIn
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 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
The Successful Candidate Will Meet The Following Qualifications
5 years of practical experience framing and solving optimization problems in supply chain, logistics, or operations
5 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
Experience building solutions in AWS is a plus
Educational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plus
Ability to adapt in a rapidly changing environment
Ability to communicate insights and approaches in a simple, actionable manner
Ability to work independently and with team members from different backgrounds
Excellent attention to detail and problem-solving skills
