Data Scientist (Optimization)

TITLE: Data Scientist (Optimization)LOCATION: HoustonTYPE: Direct HireSALARY: $175,000 - $195,000SUMMARY:The Data Scientist (Optimization) plays a pivotal role in advancing the digital transformation. In this role, you will be responsible for developing and implementing mathematical models and algorithms to solve complex business problems. You should have a passion for mathematical problem solving and a drive to help us reach our ambitious goals. The ideal candidate will have a strong background in operations research, mathematics, and/or computer science. You should have experience with optimization techniques, such as linear programming, integer programming, and dynamic programming, as well as experience with developing and applying simulation models. Additionally, you should have strong analytical and problem-solving skills.DUTIES:Develop and implement mathematical models and algorithms to solve complex business problems.Utilize optimization techniques such as linear programming, integer programming, and dynamic programming.Develop and apply simulation models.Develop and refine optimization models that enhance efficiency and effectiveness, influencing critical business decisions and supporting the strategic objectives.Collaborate with business units to understand their challenges and develop quantitative solutions that integrate seamlessly with their operations.Conduct deep analyses of large datasets to discover trends and efficiencies, driving continuous improvements and innovations in business practices.Continuously improve existing models by incorporating new data sources and updating methodologies based on the latest research and techniques.Present complex model findings and strategic recommendations to senior management, ensuring alignment and informed decision-making.Design models that are not only effective but also scalable and adaptable, preparing the organization for future challenges and opportunities.REQUIREMENTS:8+ years of extensive experience in developing and implementing optimization algorithms for transportation planning or similar domains.Experience developing and implementing large scale optimization models using Linear programming, Mixed Integer programming and heuristics.Proficiency in programming languages like Python, C++ and build automation.Strong background in utilizing optimization libraries such as CPLEX or Gurobi for solving large-scale linear and non-linear optimization problems.Knowledge of Operations Research techniques and mathematical modeling for supply chain optimization.Experience with integrating Machine Learning algorithms into decision-support tools is a plus.Proficiency in Python, R, or other analytics platforms, with a strong background in data manipulation and statistical analysis.Demonstrated ability to collaborate effectively across various teams, driving data-driven culture and innovative solutions within the organization.Excellent communication skills, capable of conveying complex information in an accessible manner to non-technical stakeholders.EDUCATION:Bachelor’s degree in a related discipline and 4 years’ experience in a related field.

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