Role- Data Scientist
Onsite in Houston Texas.
We are currently seeking an experienced Lead Data Scientist to join our client’s Big Data and Advanced Analytics team. 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:
- Work independently on data science ML projects for multiple business functions
- Identify and frame the data science ML 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
QUALIFICATIONS:
- BS Degree or MS Degree in Data Science (preferred)
- 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 or heuristic methods
- Python programming on the job
- Experience using tools on real-world problems such as:
- Google OR Tools
- Scipy.Optimize
- CPLEX
- Gurobi
- GAMS
- LINGO
- Pyomo
- MATLAB
- Arena
- Vensim
- Experience building solutions in AWS (is a plus)
- Educational background in Operations Research, Applied Mathematics, or Industrial Engineering (is a plus).