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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