DP World—Group Senior Data Scientist

Job description

Description: KEY ACCOUNTABILITIES - Pick from seniors and stakeholders across departments to identify and define operational problems, opportunities, and objectives. - Create and build mathematical models and optimization problems to represent real-world scenarios, considering constraints, objectives, and decision variables. - Apply statistical analysis, simulation techniques, and forecasting methods to analyse complex datasets and evaluate alternative courses of action. - Develop decision support tools and models to assist stakeholders in making informed decisions and optimizing operational performance. - Develop and implement optimization algorithms and computational techniques to solve large-scale optimization problems. - Implement mathematical models and algorithms in software systems and platforms, ensuring scalability, reliability, and performance. - Collaborate with cross-functional teams, including operations, supply chain, regions, BUs, finance, and marketing, to understand their needs and requirements. - Translate business requirements into mathematical models and optimization solutions, ensuring alignment with strategic objectives. - Communicate technical concepts, project updates, and recommendations effectively to non-technical stakeholders. - Lead research efforts to explore new algorithms, methodologies, and approaches to address complex operational challenges and drive innovation. - Experiment with new tools, technologies, and frameworks to enhance the effectiveness and efficiency of operations research solutions. - Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Founder’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies. QUALIFICATIONS, EXPERIENCE AND SKILLS - Masters in applied mathematics, statistics, data science, operation research, engineering or related field with 5 to 10 years relevant industry experience. Phd a plus. - Hands-on experience in application of machine learning, statistical techniques in one or more of below areas: - operations research, mathematical modeling, and optimization, LLMs solutions - Logistics network optimization - Inventory management & forecasting - Strong proficiency in mathematical programming, linear and nonlinear optimization, integer programming, and stochastic optimization. - Experience with optimization software packages such as CPLEX, Gurobi, or AMPL. - Proficiency in programming languages such as Python, R, MATLAB, or Julia. - Excellent analytical and problem-solving skills, with the ability to formulate and solve complex optimization problems. - Demonstrated ability to lead projects from conception to completion, delivering actionable insights and impactful solutions. - Passion for applying quantitative methods and analytics to solve real-world problems and drive business value. - Basic understanding of Cloud (AWS, Azure, etc.) - Strong communication and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary team environment. #LI-VG1