Data Scientist
1 week ago
Role & responsibilities
Role mandatory requirements:
deep expertise in Mixed-integer linear programming optimization (5+ years of relevant work/project experience) and relevant university degree (e.g. Operations Research)
proficiency in modeling mixed-integer linear programming models in Python using a Python package such as GurobiPy, Pyomo, Pulp, etc.
experience in applying mixed-integer linear programming models to problems from the manufacturing and supply chain domain
Additional requirements:
Minimum of 3-6 years experience with advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience in working with large datasets and relational databases is highly desirable (SQL). Knowledge of additional programming languages is a plus (Python, C++, Java). Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions. Proven leaders with the ability in inspire others, build strong relationships, and create a true followership, result-driven achievers. Strong people skills, team-orientation, and a professional attitude. Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
Preferred candidate profile
Data Scientist with Operations Research Exp with proficiency in modeling mixed-integer linear programming models in Python using a Python package such as GurobiPy, Pyomo, Pulp, etc
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