Data Scientist | Jobs in Sharjah, UAE by Wood | Apply Now

JOB DESCRIPTION / ROLE

Employment: Full Time

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

RESPONSIBILITIES

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.

Requirements:

- 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

ABOUT THE COMPANY

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people.

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