Vice President - Data Science

The Emirates Group; Dubai; On-site; USD 150,000 - 250,000; Full time

Job summary

A leading company in the aviation sector seeks a Vice President of Data Science to lead their Data Science efforts in Dubai. The role requires a deep understanding of data-driven strategies to enhance operational efficiencies and drive profit. Applicants should have extensive experience in statistical modeling and team leadership, with a Ph.D. or M.Sc. in a relevant field. The position offers an opportunity to influence major business decisions through advanced analytics and innovative solutions.

Qualifications

• 12+ years in Data Science and Analytics.
• Experience leading a team focused on quantitative analysis.
• Expertise in at least 2 disciplines like machine learning and data mining.

Responsibilities

• Lead and grow the Data Science team.
• Drive Data Science strategy to improve profitability.
• Collaborate with cross-functional teams to optimize business operations.

Skills

Statistical analysis

Machine learning

Predictive modeling

Data mining

Optimization

Education

Ph.D. or M.Sc. in a quantitative field

Tools

Python

R

Hadoop

Spark

Job description

Bachelor of Business Administration(Management)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

Job Purpose

At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better . The Data Science department falls under Enterprise Data and Analytics department at Emirates is at the forefront of transforming business operations through data-driven insights and advanced analytics. The team specializes in applying machine learning, statistical modeling, and big data solutions to optimize various aspects of the airline s operations, from revenue management to workforce optimization. By developing predictive and prescriptive models, the department empowers the business to make informed, strategic decisions, driving growth and improving operational efficiencies across the Emirates Group.

As Vice President of Data Science will lead the data science efforts of the Emirates Group; synthesize deep statistical expertise with communication and vision to lead and grow the Data Science team. Set the strategy for building Data Science capabilities and extracting monetary value from them, while interfacing directly with executive stakeholders and external analytics partners. The job holder will transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.

In this role, you will:

• Define the vision and roadmap for Data Science to continuously improve the profitability of the Emirates Group.
• Drive & Develop standard practices and procedures for analysis to ensure accuracy, reproducibility and business value realisation. Provide visibility and interpretations of model performance.
• Lead the discovery process with key stakeholders to identify business requirements and expected outcomes. Prioritise data science projects against expected business value, complexity and time to market. Assess the validity of business strategy recommendations against trend data and steer senior leadership toward making informed, sound strategic decisions.
• Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
• Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
• Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
• Collaborate with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
• Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
• Actively promote and facilitate the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.
• Lead, coach, and mentor a team of high performing data scientists, providing continuous feedback and facilitating professional development. Build and lead a team of data engineers and data scientists. Enable that team to flourish and maintain a high level of engagement and productivity.

Qualification

To be considered for the role, the Post Holder must meet the following requirements:

• Ph.D. or M.Sc. in a quantitative field such as Mathematics, Computer/Data Science, Physics, Economics, or Statistics.
• Minimum of 12+ years of previous experience in Data Science, and Analytics or Statistical Modelling required, with a minimum of 5 years of experience in building and leading a team focused on quantitative analysis.
• More than 5 years work experience in at least 2 of the following disciplines:
  • Machine learning and predictive modelling
  • Data mining
  • Mathematical programming and optimisation
  • Information retrieval
  • Natural language processing
  • Control theory
  • Game theory

Knowledge/skills:

• In depth knowledge of at least 3 of the following:
  • Statistical analysis tools such as R, Weka etc.
  • Programming languages such as Python (including libraries such as scikit, pandas etc), Java, C/C++, Scala etc.
  • Hadoop-based data mining frameworks including Spark, Hive, etc.
  • Big Data prototyping tools such as Knime, RapidMiner, Pentaho etc.
  • Open-source graph databases such as Neo4j
  • Mathematical programming solvers such as Cplex, Gurobi, Xpress etc.
  • Numerical computation tools such as Matlab, Scilab etc.

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