ETIHAD RAIL
Data Specialist Jobs in Abu Dhabi, UAE
Roles and Responsibility
Selecting features, building and optimizing classifiers using machine learning techniques;
Data mining using state-of-the-art methods;
Creating prediction systems for performance improvements;
Extending company’s data by integrating information from third party sources when needed;
Enhancing data collection procedures to include information that is relevant for building analytic systems;
Processing, cleansing and verifying the integrity of data used for analysis;
Doing ad-hoc analysis and presenting results in a clear manner;
Creating automated anomaly detection systems and constant tracking of its performance;
Creating A/B testing procedures for performance enhancements;
Performs a variety of administrative and data entry tasks in support of maintenance teams;
Works under the instruction of the Head of Fleet Reliability & Standards Manager.
Desirable Qualifications, Skills And Experience
Academic Qualifications:
Diploma in Information Science or equivalent
Professional Qualifications
Excellent understanding of machine learning techniques and algorithms;
Experience with common data science toolkits;
Experience with business intelligence and data visualization tools, such as Tableu or similar;
Proficiency in using query languages such as SQL;
Experience with NoSQL databases;
Good applied statistics skills, such as distributions, statistical testing, regression, etc.;
Good scripting and programming skills.
Experience
At least 5 years in relevant industry experience
Other Skills
Great communication skills.
English as first language or advanced level of written and verbal skills.
Ability to work with multiple teams at all levels and personalities, in cross-cultural teams.
Data-oriented personality.
Other Responsibilities
Safety Responsibilities
To comply with those elements of the company’s environment, health and safety management system and other company documents where specific responsibility is identified with the role or as a general requirement on all employees.
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