Pay $65 - $75 W-2 (No Benefits), Onsite 5 days a week, Houston TX, No (C2C, H1B, Sponsorship)
CBTS is searching for 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:
- 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:
- 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 background
Cincinnati Bell Technology Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.