Group Senior Data Scientist

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.

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