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Integrated Water Resources Data Scientist

Job Description

Sector

#ENOWA

Summary

#NEOM is a planned 26,500 km² transnational city and economic zone to be constructed in the border region of Saudi Arabia, Jordan, and Egypt. It is born from the ambition of Saudi Arabia’s Vision 2030. Planning and construction will be initiated with USD 500bn from the Public Investment Fund of Saudi Arabia and international investors.

Within the Integrated Water Resources Team, there is a need for a Data Scientist to retrieve water demand parameters, review proponent development plans, and process the information as part of a robust water demand and water balance management program. The incumbent will have relevant experience in water resources, water transmission & distribution systems, statistics, database management, data analytics (including ML and other AI subsets), and data visualization.

This role will help ensure that NEOM water demand and supply are balanced and sufficient as proponent projects are constructed and become operational. The role will contribute to sustainable water and proponent infrastructure development to ensure efficient water production and prevent disruptions to the growth and experience of NEOM. The role may require work both in the office and on site and may require the incumbent to inspect/review how assets perform in the field.

Key Accountabilities and Responsibilities

Collect, clean, process, and analyze water demand parameters, infrastructure plans, water consumption data and reports submitted by NEOM proponents and their consultants to ensure ENOWA’s water demand balance program is accurate and updated to support the growth of NEOM and ENOWA’s operations. Key accountabilities include, but are not limited to:

• Work collaboratively with internal and external stakeholders to identify and acquire relevant data sets, ensuring data quality and integrity are maintained throughout the process.
• Use general industry standard processes and tools to process and clean large data sets, ensuring that data is accurate, complete, and reliable.
• Develop, update, and maintain water demand and water balance models using various data sources, including water usage, population data, and climate data.
• Collaborate with other engineers and technical staff to analyze, interpret, and communicate data findings, ensuring that results are presented clearly and effectively.
• Perform data analysis to identify trends, patterns, and relationships, and develop models to forecast future water demands and supply.
• Analyze water balance model results and identify potential infrastructure options for the optimization of operation of existing/proposed ENOWA water systems (i.e. water supply T&D, recycled water T&D, drainage collection networks, etc.)
• Provide support and guidance to internal and external stakeholders on data analysis and modeling, including training on data tools and processes.
• Stay up to date with industry best practices and emerging trends in water data science and apply this knowledge to improve data analysis and modeling techniques.
• Ensure compliance with relevant regulations and standards and contribute to the development of internal policies and procedures related to water data management and analysis.

Background, Skills & Qualifications

  About 3-5 years of experience in data science, including data management, processing, analysis, and modeling (preferably in water),

• Strong knowledge of data science principles and practices, including data management, processing, analysis, and modeling,
• Understanding of industry standard software tools and programming languages for data management, processing, and analysis (R, Python, Matlab, SQL, Excel),
• Knowledge of water infrastructure and water management systems, including water demand and supply, distribution networks, and water treatment processes,
• Understanding of environmental regulations and standards related to water management, and ability to apply this knowledge in the context of international projects,
• Familiarity with emerging trends and technologies in water data science, and ability to apply this knowledge to improve data analysis and modeling techniques,
• Strong attention to detail, with the ability to ensure data accuracy and integrity throughout the data management and analysis process,
• Strong attention and interest in the optimization of operational processes,
• Ability to understand civil and industrial schematics, and their implications on water demand, loss, and supply.
• Familiarity with GoldSim and GIS software is an asset,
• Ability to work in rapidly changing ambiguous situations and report/present complex technical issues to senior management,
• Good presentation skills, presentation and data visualization preparation (PowerBI) and MS Office (Word, Excel, PowerPoint),
• Flexible and good organizational and time management skills,
• Excellent oral and written English proficiency,
• Degree in data analytics, data science, data engineering, computer science, OR (Civil, Environmental, Mechanical, Water Resources) Engineering.
• Qualifications in both data/software and engineering is an asset.

Apply now: https://careers.neom.com/careers?query=Water&pid=563087396072175&domain=neom.com&sort_by=relevance&triggerGoButton=true