Data Scientist

Overview

About AIQ:

AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.

About The Role

We are seeking an experienced Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.

Responsibilities

• Prepare, clean, and preprocess data for analysis.
• Analyze data quality and proactively address issues.
• Develop data-driven algorithms for clustering, classification, regression, and optimization.
• Evaluate AI solutions aligned with business objectives.
• Maintain and enhance existing solutions to meet evolving business needs.
• Deploy and manage AI models in production.
• Visualize and communicate analysis results effectively.
• Present ideas, plans, and findings orally and in written reports.
  
  

Qualifications

Educational Requirements

• Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Petroleum Engineering, or related disciplines). Advanced degrees are a plus.
  
  

Experience

• 3+ years of experience demonstrating depth and breadth in state-of-the-art machine learning, deep learning, optimization.
• Demonstrated experience in developing core AI algorithms in industry or for real-world problems.
• Proven track record of implementing robust and scalable industrial AI solutions.
• Experience with hybrid physics based and data driven modeling.
• Experience in the Oil & Gas industry, specifically in oil and gas exploration & production companies or oil field services companies, is a plus.Strong understanding of the unique challenges and complexities involved in Oil & Gas production and optimization.
  
  

Key Skills

• Strong background in applied mathematics, algorithms, and coding.
• Proficiency in statistics, machine learning, and deep learning.
• Proficiency in Python programming and data analysis libraries (e.g., Pandas, NumPy).
• Proficiency in data manipulation, cleaning, preprocessing and feature engineering …
• Proficiency in deep learning frameworks (e.g. Keras, PyTorch).
• Theoretical and practical knowledge of popular machine learning algorithms (e.g., PCA, Support Vector Machines, RandomForest, XGBoost, skforecast).
• Theoretical and practical knowledge of popular optimization methodologies (ex. PSO, GA, SGD…).
• Experience with common development tools (e.g., PyCharm, Jupyter, Docker, Git).
• Excellent communication skills, both verbal and written.