Wood is currently looking for a Data Scientist to join our team in Sharjah, UAE

Job Objective:

• Analyzes data to draw insights, patterns and conclusions that will enable the business to improve their products, services, processes or to develop new strategies. 
• Must be adept at handling large, complex datasets and developing and applying robust analytical processes including data cleaning, data interpretation models, forecasting, pattern identification and trend analysis.
• Performs descriptive statistics and analysis to develop insights, build models and solve business needs.

Key Accountabilities:

• Assist clients in using their data resources for creating value, enhancing competitiveness and driving business decisions.   
• Develop solutions to optimize design, increase the safety, reliability, cost-efficiency and productivity of our customer’s assets through the application of advanced analytics.   
• Build strong relationships with your client counterparts and internal stakeholders through working collaboratively in multi-disciplined teams. 
• Process and analyse a diverse dataset in order to draw out important insights and build machine learning models to solve typical problems encountered in the relevant industry sector. 
• Combine domain knowledge and data access with advanced analytics to transform how we execute and operate projects, bringing truly differentiated services & software to industries we serve. 
• Design, develop and deploy Machine Learning and Deep Learning models to solve business problems. 
• Prototype and deploy web applications using high-level programming languages and applicable web development frameworks 
• Participate in or lead requirement gathering sessions and validation of data modelling specification with clients 
• Run advanced and predictive analyses and perform model assessments, validation, and enhancement activities, using predictive analytics' software tools and functionalities. 
• Make recommendations to improve data and analytics systems and platforms, contributing to continuous improvement and refinement 
• Optimize joint development efforts through appropriate database use and project design 
• Identify opportunities for innovation within client organizations where advanced analytics could dramatically improve operations. Pro-actively drive this innovation to realization and implementation. 
• Participate in an Agile/Scrum methodology. 
• Formulate new questions that need to be solved by the company in order to take better decisions.
• Develop and use interactive story-telling to communicate results with the team, internal and external.

Qualifications: 

Degree in a data-oriented field like Software Engineering, Data Science, Statistics, Economics or 

Computer Science and / or a tertiary qualification in Mechanical, Civil/Structural or Process engineering. Knowledge, skills and experience: 

• A holistic understanding of the systems and infrastructure used to build products will facilitate insight into how different factors influence operational metrics 
• Experience working with large and complex data sets is required 
• Excellent pattern recognition and predictive modelling skills 
• Comfortable using, switching between and adapting to different development platforms, environments and enterprise data mining tools where required 
• Experience in data visualization and implementing effective models/algorithms into a live solution is required 
• Experience working with data and features derived from engineering/industrial sources 
• Experience of text mining techniques and related solutions 
• Experience in an asset intensive industry highly valued
• Strong working knowledge of statistical concepts such as regression, time series, mixed model, Bayesian, clustering to analyse data and provide insights 
• Working knowledge of Neural Networks and Deep Learning 
• Ability to apply modern machine learning/vision libraries 
• Excellent communication capability both written and verbal, with the ability to articulate and communicate their insights to a non-technical audience. 
• Effective interpersonal skills, capable of working effectively in a team, and an ability to relate to those in a wide range of organization positions 
• Demonstrated ability to understand complex problems and help identify practical and technically sound solutions 
• Deep analytical skills and knowledge of statistical methodologies, data / text mining techniques, algorithm development, machine learning craft and operations research techniques 
• Capable of clearly communicating complex analysis methodologies and results to a nontechnical audience within both internal and external customer bases 
• Comfortable learning new technologies and working in a fast-paced environment 
• Comfortable with manipulating and combining large, high dimensional datasets from multiple sources 
• Data mining technical knowledge and skills including decision trees, multivariate analysis, segmentation modelling, factor analysis, regression analysis, forecasting, natural language processing and machine learning. 
• Knowledge of tools and methods including statistics, artificial intelligence and machine learning may be required. 
• Ability to teach and coach others within level of technical know how 

Personal attributes: 

• Possess a questioning mind, innovative and solutions-oriented 
• Be a critical thinker with strong analytical, critical reasoning and problem solving skills 
• Have an ability to interpret findings and identify key insights to communicate to a nontechnical audience 
• Have demonstrated experience building relationships with internal and/or external stakeholders 
• Be passionate about delivering high quality work 
• Self-motivated, enthusiastic and committed to delivering first class services 
• Ability to work autonomously